Recent Trend

Hazel
Hazel Engine
PayloadsAllTheThings
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
send
Simple, private file sharing from the makers of Firefox
windows
V2ray , Trojan, Trojan-go, NaiveProxy, shadowsocksR install tools for windows V2ray,Trojan,Trojan-go, NaiveProxy, shadowsocksR的一键安装工具windows下用(一键科学上网)
silero-models
Silero Models: pre-trained STT models and benchmarks made embarrassingly simple
vue-next
Repo for Vue 3.0 (currently in RC)
FreeCAD
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler. Issues are managed on our own bug tracker at https://www.freecadweb.org/tracker
kb
A minimalist knowledge base manager
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mimikatz
A little tool to play with Windows security
vagas-junior-estagio
Empresas que constantemente oferecem vagas para junior e estagiários
material-shell
A modern desktop interface for Linux. Improve your user experience and get rid of the anarchy of traditional desktop workflows. Designed to simplify navigation and reduce the need to manipulate window
dayjs
⏰ Day.js 2KB immutable date library alternative to Moment.js with the same modern API
ML_course
EPFL Machine Learning Course, Fall 2019
create-react-app
Set up a modern web app by running one command.
Background-Matting
Background Matting: The World is Your Green Screen
Kingfisher
A lightweight, pure-Swift library for downloading and caching images from the web.
istio
Connect, secure, control, and observe services.
linux-command
Linux命令大全搜索工具,内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
generative_inpainting
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
yearn-protocol
Yearn solidity smart contracts
pebble
RocksDB/LevelDB inspired key-value database in Go
jazzit
Laughs at your expense
moment
Parse, validate, manipulate, and display dates in javascript.
n8n
Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
Hero
Elegant transition library for iOS & tvOS
DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
eat_tensorflow2_in_30_days
Tensorflow2.0 ?? is delicious, just eat it! ??
tmpmail
✉️ A temporary email right from your terminal
team-comtress-2
Team Fortress 2, but with a lot of fixes, QoL improvements and performance optimizations!
CVE-2020-1472
PoC for Zerologon - all research credits go to Tom Tervoort of Secura
DefinitelyTyped
The repository for high quality TypeScript type definitions.
rails
Ruby on Rails
stats-illustrations
R & stats illustrations by @allison_horst
pytorch-gans
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc.
data-science-interviews
Data science interview questions and answers
sds1

jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
Notebooks
Learn Python for free using open-source notebooks in Hebrew.
jellyfin
The Free Software Media System
BIGTREETECH-SKR-mini-E3
BIGTREETECH SKR-mini-E3 motherboard is a ultra-quiet, low-power, high-quality 3D printing machine control board. It is launched by the 3D printing team of Shenzhen BIGTREE technology co., LTD. This bo
XiaomiADBFastbootTools
A simple tool for managing Xiaomi devices on desktop using ADB and Fastboot
fastmac
Get a MacOS or Linux shell, for free, in around 2 minutes
pipedream
Serverless integration and compute platform. Free for developers.
DeepVision
在我很多项目中用到的CV算法推理框架应用。
dive
A tool for exploring each layer in a docker image
libra
Libra’s mission is to enable a simple global payment system and financial infrastructure that empowers billions of people.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters,
kinto

CVE-2020-1472
Test tool for CVE-2020-1472
leetcode_company_wise_questions
This is a repository containing the list of company wise questions available on leetcode premium
makani
Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This r
Fantasy-Premier-League
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
graal
GraalVM: Run Programs Faster Anywhere ?
understand-nodejs
通过源码分析nodejs原理
tensorboard
TensorFlow's Visualization Toolkit
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Relativty
An open source VR headset with SteamVR supports for $200
guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
UTM
Virtual machines for iOS
v2ray-heroku
用于在 Heroku 上部署 V2Ray Websocket,本项目不宜做为长期使用之对策。
learning
Becoming 1% better at data science everyday
wirehole

minecraft-react

mem-doc
This is a document to help with .NET memory analysis and diagnostics.
HarmonyOS
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
radar-covid-backend-dp3t-server
DP^3T Radar COVID fork
eiten
Statistical and Algorithmic Investing Strategies for Everyone
radar-covid-backend-verification-server
Radar COVID Verification Service
radar-covid-ios
Native iOS app using DP^3T iOS sdk to handle Exposure Notification framework from Apple
radar-covid-android
Native Android app using DP^3T Android sdk to handle Exposure Notifications API from Google
react-challenge-amazon-clone

solana
Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.
cockroach
CockroachDB - the open source, cloud-native distributed SQL database.
machine-learning-for-trading
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
hwp.js
Open source hwp viewer and parser library powered by web technology
awesome-react
A collection of awesome things regarding React ecosystem
connectedhomeip
Project Connected Home over IP is a new Working Group within the Zigbee Alliance. This Working Group plans to develop and promote the adoption of a new connectivity standard to increase compatibility
Yolo-Fastest
⚡ Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
laravel
A PHP framework for web artisans
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
cim
?cim(cross IM) 适用于开发者的分布式即时通讯系统
ESP32-WiFi-Hash-Monster
WiFi Hash Purple Monster, store EAPOL & PMKID packets in an SD CARD using a M5STACK / ESP32 device
react-portfolio

Algorithms
A collection of algorithms and data structures
frp
A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名
GRAT2
We developed GRAT2 Command & Control (C2) project for learning purpose.
DescomplicandoKubernetes

aes-finder
Utility to find AES keys in running processes
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
ultimate-python
Ultimate Python study guide for newcomers and professionals alike. ? ? ?
sushiswap-frontend

pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
awesome-flutter
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
Interview_Question_for_Beginner
? ? Technical-Interview guidelines written for those who started studying programming. I wish you all the best. ?
free

talk
A group video call for the web. No signups. No downloads.
bitcoin
Bitcoin Core integration/staging tree
eleventy-high-performance-blog
A high performance blog template for the 11ty static site generator.
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
ghcide
A library for building Haskell IDE tooling
moon
? The minimal & fast library for functional user interfaces
jdk
JDK main-line development
Tasmota
Alternative firmware for ESP8266 with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full docum
Server
PanDownload的个人维护版本
a32nx
The A32NX Project is a community driven open source project to create a free Airbus A320neo in Microsoft Flight Simulator that is as close to reality as possible. It aims to enhance the default A320ne
keras
Deep Learning for humans
Red-Teaming-Toolkit
A collection of open source and commercial tools that aid in red team operations.
data-engineer-roadmap
Roadmap to becoming a data engineer in 2020
hivemind
Decentralized deep learning framework in pytorch. Built to train models on thousands of volunteers across the world.
scipio
Scipio is a thread-per-core framework that aims to make the task of writing highly parallel asynchronous application in a thread-per-core architecture easier for rustaceans
hoppscotch
? A free, fast and beautiful API request builder used by 75k+ developers. https://hoppscotch.io
Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.
KingOfBugBountyTips

autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
100-nlp-papers
100 Must-Read NLP Papers
croc
Easily and securely send things from one computer to another ? ?
spark-nlp
State of the Art Natural Language Processing
display-switch
Turn a $30 USB switch into a full-featured multi-monitor KVM switch
surpriver
Find big moving stocks before they move using machine learning and anomaly detection
flink-learning
flink learning blog. http://www.flink-learning.com 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监
deeplearning-models
A collection of various deep learning architectures, models, and tips
fes.js
Fes.js 是一个管理台应用解决方案,提供初始项目、开发调试、编译打包的命令行工具,内置布局、权限、数据字典、状态管理、Api等多个模块,文件目录结构即路由,用户只需要编写页面内容。基于Vue.js,内置管理台常用能力,让用户写的更少,更简单。经过多个项目中打磨,趋于稳定。
stitches
The modern styling library. Near-zero runtime, server-side rendering, multi-variant support, and best-in-class developer experience.
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia
grafana
The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More
fortify

jetstream

scikit-learn-tips
?⚡ Daily scikit-learn tips
12306
12306智能刷票,订票
desafio-6-2020

30-seconds-of-code
Short JavaScript code snippets for all your development needs
gdal
GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.
toBeTopJavaer
To Be Top Javaer - Java工程师成神之路
companies-sponsoring-visas
A list of companies that sponsor employees from other countries.
howtheytest
A collection of public resources about how software companies test their software
bicep

htop
htop - an interactive process viewer
portainer
Making Docker management easy.
gorm
The fantastic ORM library for Golang, aims to be developer friendly
SuperPower
Here you should find the best power supplies for your low-power projects
CompEcon2020
Computational Economics Course 2020 by Kenneth Judd
vimac
Vimium for macOS.
Windows10Debloater
Script to remove Windows 10 bloatware.
HowToHunt
Some Tutorials and Things to Do while Hunting That Vulnerability.
Hack-Tools
The all-in-one Red Team extension for Web Pentester ?
KingOfBugBountyTips

Showkase
? Showkase is an annotation-processor based Android library that helps you organize, discover, search and visualize Jetpack Compose UI elements
webrtc-for-the-curious
WebRTC for the Curious: Go beyond the APIs
matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization ??
Flutter-Course-Resources
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
flutter-development-roadmap
Flutter App Developer Roadmap - A complete roadmap to learn Flutter App Development. I tried to learn flutter using this roadmap. If you want to add something please contribute to the project. Happy L
objax

sushiswap
? SushiSwap smart contracts
Cloudreve
?支持多家云存储的云盘系统 (A project helps you build your own cloud in minutes)
learn-python
? Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Python-programming-exercises
100+ Python challenging programming exercises
learn-python3
Jupyter notebooks for teaching/learning Python 3
vscode-debug-visualizer
An extension for VS Code that visualizes data during debugging.
rapier
2D and 3D physics engines focused on performances.
project-guidelines
A set of best practices for JavaScript projects
d3
Bring data to life with SVG, Canvas and HTML. ???
OpenBot
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones suppo
speakeasy
Windows kernel and user mode emulation.
Learn-Vim
A book for learning the Vim editor
maratona-fullcycle-4

arwes
Futuristic Sci-Fi and Cyberpunk Graphical User Interface Framework for Web Apps
gitignore
A collection of useful .gitignore templates
black
The uncompromising Python code formatter
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
shift-ctrl-f
? Search the information available on a webpage using natural language instead of an exact string match.
traefik
The Cloud Native Edge Router
TecoGAN
This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN
present
A terminal-based presentation tool with colors and effects.
gitpod
Gitpod is an open-source Kubernetes application providing prebuilt, collaborative development environments in your browser - powered by VS Code.
compose-samples

react-native-navigation
A complete native navigation solution for React Native
kubernetes-examples
Minimal self-contained examples of standard Kubernetes features and patterns in YAML
vscode
Visual Studio Code
cpp-httplib
A C++ header-only HTTP/HTTPS server and client library
AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
clean-architecture-swiftui
A demo project showcasing the production setup of the SwiftUI app with Clean Architecture
Gooey
Turn (almost) any Python command line program into a full GUI application with one line
baiduwp-php
PanDownload网页复刻版
latexify_py
Generates LaTeX math description from Python functions.
open-source-cs-python

RAFT

volt-bootstrap-5-dashboard
⚡️ Volt Bootstrap 5 Admin Dashboard Template with vanilla Javascript
itlwm
Intel Wi-Fi Drivers
packer
Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
open-source-cs
Video discussing this curriculum:
nsfw-filter
A Google Chrome / Firefox extension that blocks NSFW images from the web pages that you load using TensorFlow JS.
sudoku-solver
Smart solution to solve sudoku in VR
desafio-4-2020

msfs-a320neo

mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
certified-kubernetes-administrator-course
Certified Kubernetes Administrator - CKA Course
everyones-guide-for-starting-up-on-wechat-network
微信互联网平民创业
manim
Animation engine for explanatory math videos
CS-Notes
我的自学笔记,在学习shell和MLSys,整理C++、算法、操作系统,后续学习分布式系统,终身更新。
egua
? Linguagem de programação simples e moderna em português
talent-plan
open source training courses about distributed database and distributed systemes
godot
Godot Engine – Multi-platform 2D and 3D game engine
desafio-3-2020

optuna
A hyperparameter optimization framework
Ventoy
A new bootable USB solution.
Alt-F4
Alternative Factorio Friday Fan Facts, also known as Alt-F4
awesome-made-by-brazilians
?? A collection of amazing open source projects built by brazilian developers
zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
cxx
Safe interop between Rust and C++
lireddit

chakra-ui
⚡️ Simple, Modular & Accessible UI Components for your React Applications
VancedManager
Vanced Installer
react-native-video
A
NYPD-Misconduct-Complaint-Database
This database is a record of NYPD misconduct complaints made by the public to the Civilian Complaint Review Board (CCRB).
awesome-django
A curated list of awesome things related to Django
Front-End-Checklist
? The perfect Front-End Checklist for modern websites and meticulous developers
fet.sh
a fetch written in posix shell without any external commands (linux only)
baiduwp
PanDownload Web, built with CloudFlare Workers
machine-learning-interview
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
RSSHub
? Everything is RSSible
metamask-extension
? ? The MetaMask browser extension enables browsing Ethereum blockchain enabled websites
amplify-flutter
Amplify Framework provides a declarative and easy-to-use interface across different categories of cloud operations.
ent
An entity framework for Go
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
element3
(WIP)fork from ElemeFE/element ,A Vue.js 3.0 UI Toolkit for Web
posthog
? PostHog is developer-friendly, open-source product analytics.
awesome-hpp
A curated list of awesome header-only C++ libraries
fabric
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use
insight
Repository for Project Insight: NLP as a Service
omatsuri
Browser application with 9 open source frontend focused tools
InfoSpider
INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱?,旨在安全快捷的帮助用户拿回自己的数据,工具代码开源,流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、中国移动、中国联通、中国电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源
element-plus
A Vue.js 3.0 UI Toolkit for Web
autoscaler
Autoscaling components for Kubernetes
magento2
All Submissions you make to Magento Inc. ("Magento") through GitHub are subject to the following terms and conditions: (1) You grant Magento a perpetual, worldwide, non-exclusive, no charge, royalty f
ts-migrate
A tool to help migrate JavaScript code quickly and conveniently to TypeScript
ar-cutpaste
Cut and paste your surroundings using AR
chinese-programmer-wrong-pronunciation
中国程序员容易发音错误的单词
labs_campaigns

AdGuardHome
Network-wide ads & trackers blocking DNS server
COLA
Clean Object-oriented & Layered Architecture
Godzilla
哥斯拉
diagrams
? Diagram as Code for prototyping cloud system architectures
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
handcalcs
Python library for converting Python calculations into rendered latex.
mern-course-bootcamp
Complete Free Coding Bootcamp 2020 MERN Stack
handwritten.js
Convert typed text to realistic handwriting!
archivy
Archivy is a self-hosted knowledge repository that allows you to safely preserve useful content that contributes to your knowledge bank.
mall-swarm
mall-swarm是一套微服务商城系统,采用了 Spring Cloud Hoxton & Alibaba、Spring Boot 2.3、Oauth2、MyBatis、Docker、Elasticsearch等核心技术,同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。文档齐全,附带全套Spring Clou
umami
Umami is a simple, fast, website analytics alternative to Google Analytics.
nl-covid19-notification-app-android
Android sources for the Dutch Covid19 Notification App
contenidos
Material del curso IIC2233 Programación Avanzada ?
locast2plex
A very simple script to connect locast to Plex's live tv/dvr feature.
h1st
H1st AI solves the critical “cold-start” problem of Industrial AI: encoding human expertise to augment the lack of data, while building a smooth transition toward a machine-learning future. This probl
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Catch2
A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)
libra
Ergonomic machine learning.
annie
? Fast, simple and clean video downloader
spotMicro
Spot Micro Quadripeg Project
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
bootcamp-gostack-desafios
Repositório contendo todos os desafios dos módulos do Bootcamp Gostack
NoVmp
A static devirtualizer for VMProtect x64 3.x. powered by VTIL.
fullcalendar
Full-sized drag & drop event calendar
latexify_py
Generates LaTeX math description from Python functions.
vue-nodejs-youtube-clone
This is the frontend (VueJS) of the Youtube clone called VueTube.
youtube-clone-nodejs-api
VueTube is a YouTube clone built with nodejs, expressjs & mongodb. This is the RESTful API repository.
Behinder
“冰蝎”动态二进制加密网站管理客户端
low-level-design-primer

E-commerce-Complete-Flutter-UI

handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
aws-machine-learning-university-accelerated-tab

aws-machine-learning-university-accelerated-cv

mogollar
A MongoDB UI built with Electron
BespokeSynth
Software modular synth
desafio-1-2020

desafio-1-2020

kosmonaut
A web browser engine for the space age ?
aws-machine-learning-university-accelerated-nlp

fastbook
Draft of the fastai book
Hierarchical-Localization
Visual localization made easy
TypeScript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
Penetration_Testing_POC
渗透测试有关的POC、EXP、脚本、提权、小工具等,欢迎补充、完善---About penetration-testing python-script poc getshell csrf xss cms php-getshell domainmod-xss penetration-testing-poc csrf-webshell cobub-razor cve rce sql sql-poc p
God-Of-BigData
大数据面试题,大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
OSCPRepo
A list of commands, scripts, resources, and more that I have gathered and attempted to consolidate for use as OSCP (and more) study material. Commands in 'Usefulcommands' Keepnote. Bookmarks and readi
drogon
Drogon: A C++14/17 based HTTP web application framework running on Linux/macOS/Unix/Windows
papercups
Open-source live customer chat
jupyter-book
Build interactive, publication-quality documents from Jupyter Notebooks
awesome-java
Collection of awesome Java project on Github(Github 上非常棒的 Java 开源项目集合).
espflix
A free video streaming service that runs on a ESP32
servo
The Servo Browser Engine
halfmoon
Front-end framework with a built-in dark mode, designed for rapidly building beautiful dashboards and product pages.
eventnative
EventNative is an open-source data collection framework
go-github
Go library for accessing the GitHub API
yam-protocol
A stablizing reserve currency protocol
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
sherlock
? Hunt down social media accounts by username across social networks
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
clean-code-javascript
? Clean Code concepts adapted for JavaScript
laravel-admin
Build a full-featured administrative interface in ten minutes
OpenJailbreak
GeoSn0w's OpenJailbreak Project, an open-source iOS 11 to iOS 13 Jailbreak project & vault.
azure-quickstart-templates
Azure Quickstart Templates
nodejs.dev
A new Node.js resource built using Gatsby.js with React.js, TypeScript, Emotion, and Remark.
KOOM
KOOM is an OOM killer on mobile platform by Kwai.
bevy
A refreshingly simple data-driven game engine built in Rust
eat_pytorch_in_20_days
Pytorch?? is delicious, just eat it! ??
datasets
? 2,000,000+ Unsplash images made available for research and machine learning
malwoverview
Malwoverview is a first response tool to perform an initial and quick triage in a directory containing malware samples, specific malware sample, suspect URL and domains. Additionally, it allows to dow
streisand
Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these serv
LeetCode
LeetCode刷题记录
IntelOwl
Intel Owl: analyze files, domains, IPs in multiple ways from a single API at scale
archive-program
The GitHub Archive Program & Arctic Code Vault
rancher
Complete container management platform
Noctilucent
Using TLS 1.3 to evade censors, bypass network defenses, and blend in with the noise
data-science
? Path to a free self-taught education in Data Science!
FigmaToCode
Generate responsive pages and apps on Tailwind, Flutter and SwiftUI.
twitter-clone

my-arsenal-of-aws-security-tools
List of open source tools for AWS security: defensive, offensive, auditing, DFIR, etc.
InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
macOS_Big_Sur_icons_replacements
Replacement icons for popular apps in the style of macOS Big Sur
AnimeGANv2
[Open Source]. The improved version of AnimeGAN.
bluezone-app
Bluezone - Bảo vệ mình, bảo vệ cộng đồng
awesome-sysadmin
A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.
facebook-scripts-dom-manipulation
An open-source project includes many scripts with no Access Token needed for Facebook users by directly manipulating the DOM.
MCinaBox
MCinaBox - A Minecraft Java Edition Launcher on Android
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcemen
TikTok-Shares-Botter
Adds TikTok Shares for you.
prefect
The easiest way to automate your data
tuya-convert
A collection of scripts to flash Tuya IoT devices to alternative firmwares
crush
Crush is an attempt to make a command line shell that is also a powerful modern programming language.
pyre-check
Performant type-checking for python.
polkadot
Polkadot Node Implementation
incyber

mesh
Cloud native service mesh for the rest of us.
V2rayU
V2rayU,基于v2ray核心的mac版客户端,用于科学上网,使用swift编写,支持vmess,shadowsocks,socks5等服务协议,支持订阅, 支持二维码,剪贴板导入,手动配置,二维码分享等
TLS-poison

heroicons
A set of free MIT-licensed high-quality SVG icons for UI development.
react-native
A framework for building native apps with React.
gui.cs
Console-based user interface toolkit for .NET applications.
Atlas
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
aws-sdk-go
AWS SDK for the Go programming language.
charts
Curated applications for Kubernetes
pybind11
Seamless operability between C++11 and Python
mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
proffy-discovery
A proposta do projeto é uma aplicação que possa ligar quem deseja aprender, com quer ensinar. É possível encontrar alunos para o que você leciona, ou encontrar o professor para aquela matéria que você
mixer
Add-on for real-time collaboration in Blender.
iOS-DeviceSupport
This repository holds the device support files for the iOS, and I will update it regularly.
simdjson
Parsing gigabytes of JSON per second
amplify-js
A declarative JavaScript library for application development using cloud services.
lottie-ios
An iOS library to natively render After Effects vector animations
Faze4-Robotic-arm
All files for 6 axis robot arm with cycloidal gearboxes .
xiaobaiyang

Javascript
A repository for All algorithms implemented in Javascript (for educational purposes only)
blog-post-workflow
Show your latest blog posts from any sources or StackOverflow activity on your GitHub profile/project readme automatically using the RSS feed
reverse-interview
Questions to ask the company during your interview
expo
An open-source platform for making universal native apps with React. Expo runs on Android, iOS, and the web.
955.WLB
955 不加班的公司名单 - 工作 955,work–life balance (工作与生活的平衡)
A-to-Z-Resources-for-Students
✅ Curated list of resources for college students
TDengine
An open-source big data platform designed and optimized for the Internet of Things (IoT).
django-jazzmin
Jazzy theme for Django
full-stack-fastapi-postgresql
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
Reflection_Summary
算法理论基础知识应知应会
Best-websites-a-programmer-should-visit
? Some useful websites for programmers.
bpytop
Linux/OSX/FreeBSD resource monitor
TelemetrySourcerer
Enumerate and disable common sources of telemetry used by AV/EDR.
instagrabber
InstaGrabber, the open-source Instagram client for Android. Originally by @AwaisKing.
pe_tree

Powershell-Scripts
Helpful list of powershell scripts I have found/created
drawio
Source to app.diagrams.net
analytics
Simple and privacy-friendly alternative to Google Analytics
pycaret
An open source, low-code machine learning library in Python
Ciphey
Automated decryption tool
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
ps4-ipv6-uaf

UNSAM_2020c2_Python
Curso de programación en Python - 2do cuatrimestre 2020 - UNSAM
gpu.js
GPU Accelerated JavaScript
how-to-secure-anything
How to systematically secure anything: a repository about security engineering
paperview
A high performance X11 animated wallpaper setter
core
? JAVClub - 让你的大姐姐不再走丢
home-cloud
The "cloud" at home
haoel.github.io

InstaPy
? Instagram Bot - Tool for automated Instagram interactions
bat
A cat(1) clone with wings.
DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
rustlings
? Small exercises to get you used to reading and writing Rust code!
trackerslist
Updated list of public BitTorrent trackers
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
mobile
React Native client application for COVID Shield on iOS and Android
binary_search
A collection of improved binary search algorithms.
mirai

TapTap
Port of the double tap on back of device feature from Android 11 to any armv8 Android device
complete-javascript-course
Starter files, final projects and FAQ for my Complete JavaScript course
icons
Official open source SVG icon library for Bootstrap.
oneflow
OneFlow is a performance-centered and open-source deep learning framework.
ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
hvmi
Hypervisor Memory Introspection Core Library
fhe-toolkit-linux
IBM Fully Homomorphic Encryption Toolkit For Linux
teenyicons
Tiny minimal 1px icons designed to fit in the smallest places.
project-citadel
An open source project management tool with Kanban boards
covid-alert-app
Exposure notification client application / Application client de notification d'exposition
ChromeAppHeroes
?谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新
SSPanel-Uim
SSPanel V3 魔改再次修改版
UnusualVolumeDetector
Gets the last 5 months of volume history for every ticker, and alerts you when a stock's volume exceeds 10 standard deviations from the mean within the last 3 days
formik
Build forms in React, without the tears ?
learn-cantrill-io-labs
Standard and Advanced Demos for learn.cantrill.io courses
TransCoder
Public release of the TransCoder research project https://arxiv.org/pdf/2006.03511.pdf
bounty-targets-data
This repo contains hourly-updated data dumps of bug bounty platform scopes (like Hackerone/Bugcrowd/Intigriti/etc) that are eligible for reports
CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
windows95
?? Windows 95 in Electron. Runs on macOS, Linux, and Windows.
SkyArk
SkyArk helps to discover, assess and secure the most privileged entities in Azure and AWS
interviews
Everything you need to know to get the job.
Android-Analysis
Getting Genymotion & Burpsuite setup for Android Mobile App Analysis
detext
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
workflow

tye
Tye is a tool that makes developing, testing, and deploying microservices and distributed applications easier. Project Tye includes a local orchestrator to make developing microservices easier and the
java-design-patterns
Design patterns implemented in Java
java8-tutorial
Modern Java - A Guide to Java 8
generator-jhipster
JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.
stayaway-app
Official repository for the STAYAWAY COVID mobile application
api-guidelines
Microsoft REST API Guidelines
win10script
This is the Ultimate Windows 10 Script from a creation from multiple debloat scripts and gists from github.
tutorials
Just Announced - "Learn Spring Security OAuth":
Otto
Otto makes machine learning an intuitive, natural language experience.? Facebook AI Challenge winner
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
laravel-best-practices
Laravel best practices
hiring-without-whiteboards
⭐️ Companies that don't have a broken hiring process
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
macintosh.js
A virtual Apple Macintosh with System 8, running in Electron. I'm sorry.
QuickCut
Your most handy video processing software
Super-mario-bros-PPO-pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficien
swift
The Swift Programming Language
flutter
Flutter makes it easy and fast to build beautiful apps for mobile and beyond.
pikvm
Open and cheap DIY IP-KVM based on Raspberry Pi
ILSpy
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata (&more) - cross-platform!
aluraflix
⚛️ Projeto feito durante a Imersão React da Alura
starship
☄?️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
leonsans
Leon Sans is a geometric sans-serif typeface made with code in 2019 by Jongmin Kim.
MCVmComputers
Order computer parts from a satellite orbiting around your minecraft world and build actual working computers with them!
CleanArchitecture.WebApi
An implementation of Clean Architecture for ASP.NET Core 3.1 WebAPI. Built with loosely coupled architecture and clean-code practices in mind.
NutShell
RISC-V SoC designed by students in UCAS
bartosz-basics-of-haskell
Code and exercises from Bartosz Milewski's Basics of Haskell Tutorial
fullstack-starterkit
GraphQL first full-stack starter kit with Node, React. Powered by TypeScript
movement-tracking
UP - DOWN - LEFT - RIGHT movement tracking.
OSCP-Exam-Report-Template-Markdown
? OSCP Exam Report Template in Markdown
react-native-instagram-clone
A React Native app - Clone Instagram mobile app (In progress)
felicette
Satellite imagery for dummies.
neovim
Vim-fork focused on extensibility and usability
machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
python-cheatsheet
Comprehensive Python Cheatsheet
awesome-cold-showers
For when people get too hyped up about things
cutter
Free and Open Source Reverse Engineering Platform powered by radare2
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
RustScan
Faster Nmap Scanning with Rust
openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 85 supported car makes and models.
retinaface
The remake of the https://github.com/biubug6/Pytorch_Retinaface
awesome-gpt3

GitHub520
?让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。
LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题?
angular-tetris
Tetris game built with Angular 10 and Akita ?
umi-core
UMI Core Go Library
RustScan
Faster Nmap Scanning with Rust
rpi-power-monitor
Raspberry Pi Power Monitor
umi-core-py
UMI Core Python Library
gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
easy_rust
Rust explained using easy English
rengine
reNgine is an automated reconnaissance framework meant for gathering information during penetration testing of web applications. reNgine has customizable scan engines, which can be used to scan the we
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
umi-core-js
UMI Core JS Library
bloatbox
☑️? Get rid of bloatware and clean your Windows 10 Start menu
umi-core-php
UMI Core PHP Library
proposal-record-tuple
ECMAScript proposal for the Record and Tuple value types. | Stage 2: it will change!
jetbrains-agent-latest
jetbrains全家桶永久激活破解,不需要修改host。完美破解!共享给各个程序员兄弟使用。适用于2020版本。
applied-ml
Curated papers, articles & videos on data science & machine learning applied in production, with results.
lotus
Implementation of the Filecoin protocol, written in Go
cat
CAT 作为服务端项目基础组件,提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端,已经在美团点评的基础架构中间件框架(MVC框架,RPC框架,数据库框架,缓存框架等,消息队列,配置系统等)深度集成,为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。
fawkes
Fawkes, privacy preserving tool against facial recognition systems. More info at http://sandlab.cs.uchicago.edu/fawkes
terminal
The new Windows Terminal and the original Windows console host, all in the same place!
kibana
Your window into the Elastic Stack
terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is an open source tool that codifies APIs into declarative configuration files that can be shared amongst
gotraining
Go Training Class Material :
JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
storybook
? The UI component workshop. Develop, document, & test for React, Vue, Angular, Ember, Web Components, & more!
awesome-remote-job
A curated list of awesome remote jobs and resources. Inspired by https://github.com/vinta/awesome-python
vueuse
? Collection of Composition API utils for Vue 2 and 3
fe-interview
前端面试每日 3+1,以面试题来驱动学习,提倡每日学习与思考,每天进步一点!每天早上5点纯手工发布面试题(死磕自己,愉悦大家),3000+道前端面试题全面覆盖,HTML/CSS/JavaScript/Vue/React/Nodejs/TypeScript/ECMAScritpt/Webpack/Jquery/小程序/软技能……
stock
stock,股票系统。使用python进行开发。
awesome-ml-courses
Awesome free machine learning and AI courses with video lectures.
laravel-boilerplate
The Laravel Boilerplate Project - https://laravel-boilerplate.com
reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
lx-music-desktop
一个基于 electron 的音乐软件
number-verifier
Number Verifier is a SMS verification tool that makes it easy to get a disposable SMS number and bypass SMS number verifications on any site.
CyberProfDevelopmentCovidResources
An awesome list of FREE resources for training, conferences, speaking, labs, reading, etc that are free all the time or during COVID-19 that cybersecurity professionals with downtime can take advantag
opentelemetry-specification
Specifications for OpenTelemetry
front-end-interview-handbook
? No bullshit answers to the famous h5bp "Front-end Job Interview Questions"
hello-algorithm
?????? 本项目包括:1、我写的 30w 字图解算法题典 2、100 张编程类超清晰思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、小浩算法网站源代码 ( ?? 国人项目上榜不容易,右上角助力一波!干就对了,奥利给 !??)

matplotplusplus

C++ LINK
Matplot++: A C++ Graphics Library for Data Visualization ??

Matplot++

Data visualization can help programmers and scientists identify trends in their data and efficiently communicate these results with their peers. Modern C++ is being used for a variety of scientific applications, and this environment can benefit considerably from graphics libraries that attend the typical design goals toward scientific data visualization. Besides the option of exporting results to other environments, the customary alternatives in C++ are either non-dedicated libraries that depend on existing user interfaces or bindings to other languages. Matplot++ is a graphics library for data visualization that provides interactive plotting, means for exporting plots in high-quality formats for scientific publications, a compact syntax consistent with similar libraries, dozens of plot categories with specialized algorithms, multiple coding styles, and supports generic backends.

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example_sgtitle_2 example_xlabel_1 example_xlabel_2 example_xlabel_3 example_xlabel_4 example_xlabel_5 example_xlabel_6 example_xlabel_7 example_xlabel_8 example_ylabel_1 example_ylabel_2 example_ylabel_3 example_ylabel_4 example_ylabel_5 example_ylabel_6 example_ylabel_7 example_ylabel_8 example_zlabel_1 example_zlabel_2 example_zlabel_3 example_legend_1 example_legend_2 example_legend_3 example_legend_4 example_legend_5 example_legend_6 example_legend_7 example_legend_8 example_legend_9 example_xlim_1 example_xlim_2 example_xlim_3 example_xlim_4 example_xlim_5 example_xlim_6 example_ylim_1 example_ylim_2 example_ylim_3 example_ylim_4 example_ylim_5 example_ylim_6 example_zlim_1 example_zlim_2 example_zlim_3 example_zlim_4 example_zlim_5 example_zlim_6 example_axis_1 example_axis_2 example_axis_3 example_axis_4 example_axis_5 example_axis_6 example_axis_7 example_axis_8 example_box_1 example_box_2 example_box_3 example_grid_1 example_grid_2 example_grid_3 example_grid_4 example_xticks_1 example_xticks_2 example_xticks_3 example_xticks_4 example_xticks_5 example_xticks_6 example_xticks_7 example_xticks_8 example_yticks_1 example_yticks_2 example_yticks_3 example_yticks_4 example_yticks_5 example_yticks_6 example_yticks_7 example_yticks_8 example_zticks_1 example_zticks_2 example_zticks_3 example_zticks_4 example_zticks_5 example_zticks_6 example_xticklabels_1 example_xticklabels_2 example_xticklabels_3 example_xticklabels_4 example_yticklabels_1 example_yticklabels_2 example_yticklabels_3 example_yticklabels_4 example_xtickformat_1 example_xtickformat_2 example_xtickformat_3 example_xtickformat_4 example_xtickformat_5 example_ytickformat_1 example_ytickformat_2 example_ytickformat_3 example_ytickformat_4 example_ytickformat_5 example_ztickformat_1 example_ztickformat_2 example_ztickformat_3 example_ztickformat_4 example_ztickformat_5 example_xtickangle_1 example_xtickangle_2 example_xtickangle_3 example_ytickangle_1 example_ytickangle_2 example_ytickangle_3 example_hold_1 example_hold_2 example_hold_3 example_hold_4 example_yyaxis_1 example_yyaxis_2 example_yyaxis_3 example_yyaxis_4 example_yyaxis_5 example_yyaxis_6 example_yyaxis_7 example_colororder_1 example_colororder_2 example_colororder_3 example_colororder_4 example_colororder_5 example_colororder_6 example_colororder_7 example_subplot_1 example_subplot_2 example_subplot_3 example_subplot_4 example_subplot_5 example_subplot_6 example_subplot_7 example_subplot_8 example_subplot_9 example_subplot_10 example_subplot_11 example_subplot_12 example_subplot_13 example_tiledlayout_1 example_tiledlayout_2 example_tiledlayout_3 example_tiledlayout_4 example_tiledlayout_5 example_tiledlayout_6 example_tiledlayout_7 example_tiledlayout_8 example_colormap_1 example_colormap_2 example_colormap_3 example_colormap_4 example_colormap_5 example_colormap_6 example_colormap_7 example_colormap_8 example_colormap_9 example_colorbar_1 example_colorbar_2 example_colorbar_3 example_colorbar_4 example_colorbar_5 example_colorbar_6 example_colorbar_7 example_rgbplot_1 example_rgbplot_2 example_view_1 example_view_2 example_view_3 example_view_4 example_view_5 example_view_6 example_lighting_1 example_lighting_2 example_lighting_3 example_lighting_4 example_lighting_5 example_lighting_6 example_figure_1 example_figure_2 example_figure_3 example_line_spec_1 example_axes_1 example_axes_2 example_axes_3 example_axes_4 example_cla_1 example_cla_2 example_cla_3 example_save_1 example_save_2 example_save_3 example_save_4 example_save_5 example_save_6 example_save_7 example_save_8

Examples

The examples assume we are in the matplot namespace. Use these examples to understand how to quickly use the library for data visualization. If you are interested in understanding how the library works, you can later read the details in the complete article.

Line Plots

Line Plot

plot(x,y); 

example_plot_1

Where x and y are are any value ranges.

More examples:

example_plot_2 example_plot_3 example_plot_4 example_plot_5 example_plot_6 example_plot_7 example_plot_8 example_plot_9 example_plot_10 example_plot_11 example_plot_12

Setters return a reference to *this to allow method chaining:

plot(x,y)->line_width(2).color("red");

The examples use free-standing functions to create plots. You can also use a object-oriented style for plots. We discuss these coding styles in the Section Coding Styles.

Line Plot 3D

plot3(x,y);

example_plot3_1

More examples:

example_plot3_2 example_plot3_3 example_plot3_4 example_plot3_5 example_plot3_7 example_plot3_8 example_plot3_9 example_plot3_10

With method chaining:

plot3(x,y)->line_width(2).color("red");

Stairs

stairs(x,y);

example_stairs_1

More examples:

example_stairs_2 example_stairs_3 example_stairs_4 example_stairs_5 example_stairs_6 example_stairs_7 example_stairs_8 example_stairs_9 example_stairs_10

The stair object renders the line with stairs between data points to denote discrete data.

Error Bars

errorbar(x,y,err);

example_errorbar_1

More examples:

example_errorbar_2 example_errorbar_3 example_errorbar_4 example_errorbar_5 example_errorbar_6 example_errorbar_7 example_errorbar_8 example_errorbar_9 example_errorbar_10

The error bar object includes extra lines to represent error around data points. Log plots are utility functions that adjust the x or y axes to a logarithmic scale.

Area

area(Y);

example_area_1

More examples:

example_area_2 example_area_3 example_area_4

Loglog Plot

loglog(x,y);

example_loglog_1

More examples:

example_loglog_2 example_loglog_3 example_loglog_4 example_loglog_5 example_loglog_6 example_loglog_7 example_loglog_8 example_loglog_9

Semilogx Plot

semilogx(x,y);

example_semilogx_1

Semilogy Plot

semilogy(x,y);

example_semilogy_1

Function Plot

fplot(fx);

example_fplot_1

More examples:

example_fplot_2 example_fplot_3 example_fplot_4 example_fplot_5 example_fplot_6

Instead of storing data points, the objects function line and string function store a function as a lambda function or as a string with an expression. These objects use lazy evaluation to generate absolute data points. The data is generated only when the draw function is called.

Function Plot 3D

fplot(fxy);

example_fplot3_1

More examples:

example_fplot3_2 example_fplot3_3 example_fplot3_4 example_fplot3_5

Implicit function

fplot(fxy);

example_fimplicit_1

More examples:

example_fimplicit_2 example_fimplicit_3 example_fimplicit_4

Data Distribution

Histogram

hist(data);

example_histogram_1

More examples:

example_histogram_2 example_histogram_3 example_histogram_4 example_histogram_5 example_histogram_6 example_histogram_7 example_histogram_8 example_histogram_9 example_histogram_10 example_histogram_11 example_histogram_12 example_histogram_14

The histogram object creates the histogram edges and bins when the draw function is called for the first time with lazy evaluation. Lazy evaluation avoids calculating edges unnecessarily in case the user changes the object parameters before calling draw. This object includes several algorithms for automatically delimiting the edges and bins for the histograms.

Boxplot

boxplot(data);

example_boxplot_1

More examples:

example_boxplot_2 example_boxplot_3

Scatter Plot

scatter(x,y);

example_scatter_1

More examples:

example_scatter_2 example_scatter_3 example_scatter_4 example_scatter_5 example_scatter_6 example_scatter_7 example_scatter_8

Scatter plots also depend on the line object. As the line object can represent lines with markers, the scatter function simply creates markers without the lines.

Scatter Plot 3D

scatter(x,y,z);

example_scatter3_1

More examples:

example_scatter3_2 example_scatter3_3 example_scatter3_4 example_scatter3_5 example_scatter3_6

Binned Scatter Plots

binscatter(x,y);

example_binscatter_1

More examples:

example_binscatter_2 example_binscatter_3 example_binscatter_4 example_binscatter_5 example_binscatter_6 example_binscatter_7

Binned scatter plots use variations of the histogram algorithms of the previous section as an extra step to place all the data into two-dimensional bins that can be represented with varying colors or sizes. This is useful when there are so many data points that a scatter plot would be impractical for visualizing the data.

Plot Matrix

plotmatrix(X);

example_plotmatrix_1

More examples:

example_plotmatrix_2 example_plotmatrix_3 example_plotmatrix_4

The Plot Matrix subcategory is a combination of histograms and scatter plots. It creates a matrix of axes objects on the figure and creates a scatter plot for each pair of data sets.

Parallel Coordinates

example_parallelplot_1

More examples:

example_parallelplot_2 example_parallelplot_3

The function parallelplot creates a plot with Parallel Coordinates. In this type of plot, a parallel lines object stores an arbitrary set of axis objects to represent multi-dimensional data.

Pie Chart

example_pie_1

More examples:

example_pie_2 example_pie_3 example_pie_4 example_pie_5 example_pie_6

Heatmap

example_heatmap_1

More examples:

example_heatmap_2 example_heatmap_3 example_heatmap_4 example_heatmap_5 example_heatmap_6 example_heatmap_7

Word Cloud

example_wordcloud_1

More examples:

example_wordcloud_3 example_wordcloud_4 example_wordcloud_4

Word clouds are generated from text or pairs of words and their frequency. After attributing a size proportional to each word frequency, the algorithm to position the labels iterates words from the largest to the smallest. For each word, it spins the word in polar coordinates converted to Cartesian coordinates until it does not overlap with any other word.

By default, the colors and the sizes depend on the word frequencies. We can customize the colors by passing a third parameter to the wordcloud function.

Discrete Data

Bar Plot

example_bar_1

More examples:

example_bar_2 example_bar_3 example_bar_4 example_bar_5 example_bar_6 example_bar_7 example_bar_8 example_bar_9 example_bar_10 example_bar_11 example_bar_12 example_bar_13

Pareto Chart

example_pareto_1

More examples:

example_pareto_2 example_pareto_3 example_pareto_4

Pareto Charts are a type of chart that uses both $y$ axes. The $y_1$ axis is used to represent bars with the data values in descending order. The $y_2$ axis is used to represent the cumulative distribution function of the data in the $y_1$ axis. By default, a Pareto Chart includes up to 10 items or as many items as needed to represent 95% of the cumulative distribution.

If you need Pareto fronts rather than Pareto charts, we refer to Scatter Plots for two-dimensional fronts, Plot matrices for three-dimensional fronts, or Parallel Coordinate Plots for many-objective fronts. These plot subcategories are described in Section Data Distribution. If you also need a tool to calculate these fronts efficiently, we refer to the Pareto Front Library.

Stem Plot

example_stem_1

More examples:

example_stem_2 example_stem_3 example_stem_4 example_stem_5 example_stem_6 example_stem_7 example_stem_8 example_stem_9

Stem Plot 3D

example_stem3_1

More examples:

example_stem3_2 example_stem3_3 example_stem3_4 example_stem3_5 example_stem3_6 example_stem3_7 example_stem3_8 example_stem3_9 example_stem3_10 example_stem3_11

Geography

Geoplot

example_geoplot_1

More examples:

example_geoplot_2 example_geoplot_3 example_geoplot_4 example_geoplot_5 example_geoplot_6 example_geoplot_7

For the first geography plot, Matplot++ calls geoplot(), which creates a filled polygon with the world map. This first plot receives the tag "map" so that subsequent geography plots recognize there is no need to recreate this world map.

The data for the world map comes from Natural Earth. They provide data at 1:10m, 1:50m, and 1:110m scales. The geoplot function will initially use the data at the 1:110m scales. The geolimits function can be used to update the axis limits for geography plots. The difference between the usual functions for adjusting axis limits (xlim and ylim) and geolimits is that the latter will also update the map resolution according to the new limits for the $x$ and $y$ axis.

The geolimits function will query the figure size and, depending on the new limits for the axes, update the map to the 1:10m, or 1:50m scales if needed. Because it would be very inefficient to render the whole world map at a 1:10m or 1:50m scale only to display a region of this map, the geolimits function also crops the data pertinent to the new region being displayed.

Note that this does not only involve removing data points outside the new limits but it also needs to create new data points on the correct borders to create new polygons coherent with the map entry points in the region. For this reason, the algorithm needs to track all submaps represented as closed polygons in the original world map. If submaps are completely inside or outside the new ranges, we can respectively include or dismiss the data points. However, if the submap is only partially inside the new limits, to generate the correct borders for the polygons, we need to track all points outside the limits to classify the directions of these points outside the limits. We do that by only including points that change quadrants around the new limits so that the map entry points create polygons that look like they would if the complete world map were still being rendered outside these new limits.

If the you are not interested in geographic plots, the build script includes an option to remove the high-resolution maps at 1:10m and 1:50m scales from the library. In this case, the library will always use the map at a 1:110m scale no matter the axis limits.

The function world_cities returns a list of major world cities. Its parameters define the minimum distances between cities in the $x$ and $y$ axes. The greedy_tsp function is a naive greedy algorithm to find a route between these cities as a Traveling Salesman Problem (TSP). We use the geoplot function to draw this route. Note that we use method chaining to define some further plot properties. Finally, the text function includes the city names in the map.

Geoscatter Plot

example_geoscatter_1

More examples:

example_geoscatter_2

Geobubble

example_geobubble_1

More examples:

example_geobubble_2

Geodensity Plot

example_geodensityplot_1

Polar Plots

Polar Line Plot

example_polarplot_1

More examples:

example_polarplot_2 example_polarplot_3 example_polarplot_4 example_polarplot_5 example_polarplot_6 example_polarplot_7 example_polarplot_8

By emplacing a polar plot in the axes, the axes move to a polar mode, where we use the $r$ and $t$ axis instead of the $x$ and $y$ axis.

From the backend point of view, these axes are an abstraction to the user. The data points in the $r$ and $t$ axis are drawn by converting the positions from the polar coordinates $r$ and $t$ to the Cartesian coordinates $x$ and $y$ with the relationships $x=r \cos{t}$ and $y=r \sin{t}$.

Aside from this conversion, these plot subcategories are analogous to line plots, scatter plots, histograms, quiver plots, and line functions.

Polar Scatter Plot

example_polarscatter_1

More examples:

example_polarscatter_2 example_polarscatter_3 example_polarscatter_4 example_polarscatter_5 example_polarscatter_6

Polar Histogram

example_polarhistogram_1

More examples:

example_polarhistogram_2 example_polarhistogram_3 example_polarhistogram_4 example_polarhistogram_5

The function polarhistogram distributes the data into the number of bins provided as its second parameter.

Compass

example_compass_1

More examples:

example_compass_2

Polar Function

example_ezpolar_1

More examples:

example_ezpolar_2

Contour Plots

Contour

example_contour_1

More examples:

example_contour_2 example_contour_3 example_contour_4 example_contour_5 example_contour_6 example_contour_7 example_contour_8

All these subcategories depend on the contours type. They also depend on lazy evaluation for generating the contour lines. When the function draw is called in the contours class, it preprocesses all contour lines for a three-dimensional function.

Although it is relatively simple to show a heatmap with the values for the $z$-axis, calculating contour lines relative to the $z$-axis is more complex than it might seem at first. We provide the function contourc for calculating contour lines. This function uses an adaptation of the algorithm adopted by Matplotlib.

The algorithm creates a quad grid defined by the $x$ and $y$ values. It uses this grid to infer a contour line passing through positions with the same $z$ value. The algorithm sweeps through the grid twice to generate these lines. The first sweep looks for lines that start on the boundaries. The second sweep looks for interior closed loops.

Filled contours are closed polygons for pairs of contour levels. Some polygons for filled contours might be holes inside other polygons. The algorithm needs to keep track of these relationships so that we can render the polygons in their accurate order. To avoid an extra step that identifies this relationship between the polygons, the sweeping algorithm already identifies which polygons are holes for each level.

Once we find the quads with the contour line, the line is generated by interpolating the $z$ values around that quad.

Filled Contour

example_contourf_1

More examples:

example_contourf_2 example_contourf_3 example_contourf_4 example_contourf_5 example_contourf_6

Function Contour

example_fcontour_1

More examples:

example_fcontour_2 example_fcontour_3 example_fcontour_4 example_fcontour_5 example_fcontour_6 example_fcontour_7 example_fcontour_8 example_fcontour_9 example_fcontour_10 example_fcontour_11

By default, the function fcontour will generate 9 contour lines from a lambda function. The functions contour and contourf, on the other hand, plot contour lines and filled contour lines from a grid of data points for $x$, $y$, and $z$.

Vector Fields

Quiver

example_quiver_1

More examples:

example_quiver_2 example_quiver_3 example_quiver_4

All these subcategories depend on the vectors object type. In a two-dimensional plot, for each value of $x$ and $y$ with the position of a vector, it also requires the value of $u$ and $v$ indicating its direction and magnitude. In a three-dimensional plot, the direction and magnitude are defined by $u$, $v$, and $w$.

A quiver plot (or velocity plot) shows a grid of vectors whose direction and magnitude are scaled to prevent the overlap between vectors in subsequent quads.

Quiver 3D

example_quiver3_1

Feather

example_feather_1

Surfaces

Surface

example_surf_1

More examples:

example_surf_2 example_surf_3 example_surf_4 example_surf_5 example_surf_6

Surface with Contour

example_surfc_1

More examples:

example_surfc_2 example_surfc_3 example_surfc_4

Mesh

example_mesh_1

More examples:

example_mesh_2 example_mesh_3 example_mesh_4

Mesh with Contour

example_meshc_1

More examples:

example_meshc_2 example_meshc_3

Mesh with Curtain

example_meshz_1

More examples:

example_meshz_2 example_meshz_3

Function Surface

example_fsurf_1

More examples:

example_fsurf_2 example_fsurf_3 example_fsurf_4 example_fsurf_5 example_fsurf_6 example_fsurf_7 example_fsurf_8

Function Mesh

example_fmesh_1

More examples:

example_fmesh_2 example_fmesh_3 example_fmesh_4

Waterfall

example_waterfall_1

More examples:

example_waterfall_2 example_waterfall_3

Fence

example_fence_1

More examples:

example_fence_2 example_fence_3

Ribbon

example_ribbon_1

More examples:

example_ribbon_2 example_ribbon_3 example_ribbon_4

Graphs

Undirected Graph

example_graph_1

More examples:

example_graph_2 example_graph_3 example_graph_4 example_graph_5

All these subcategories depend on the network class. Graphs are abstract structures that represent objects and relationships between these objects. The objects are represented as vertices and the relationships are depicted as edges.

In an abstract graph, the vertices have no specific position in space. Mathematically, a graph does not depend on its layout. However, the graph layout has a large impact on its understandability. The network class can calculate appropriate positions for graph vertices with several algorithms: Kamada Kawai algorithm, Fruchterman-Reingold algorithm, circle layout, random layout, and automatic layout.

The implementation of the Kamada Kawai and Fruchterman-Reingold algorithms depend on the NodeSoup library. The automatic layout uses the Kamada Kawai algorithm for small graphs and the Fruchterman-Reingold algorithm for larger graphs.

Directed Graph

example_digraph_1

More examples:

example_digraph_2 example_digraph_3

Images

Image Show

example_imshow_1

More examples:

example_imshow_2 example_imshow_3 example_imshow_4 example_imshow_5 example_imshow_6 example_imshow_7 example_imshow_8 example_imshow_9 example_imshow_10 example_imshow_11

These subcategories depend on the matrix class. The matrix class can have up to four matrices. If it has only one matrix, it is represented with a colormap. If it has three matrices, they represent the red, green, and blue channels. If it has four matrices, the fourth matrix represents an alpha channel to control the transparency of each pixel.

We use the CImg library to load and save images. CImg can handle many common image formats as long as it has access to the appropriate libraries. The Matplot++ build script will look at compile-time for the following optional libraries: JPEG, TIFF, ZLIB, PNG, LAPACK, BLAS, OpenCV, X11, fftw3, OpenEXR, and Magick++. The build script will attempt to link all libraries from this list to Matplot++.

Matplot++ includes a few convenience functions to manipulate matrices with images: imread, rgb2gray, gray2rgb, imresize, and imwrite. All these functions work with lists of matrices.

Image Matrix

example_image_1

More examples:

example_image_2 example_image_3 example_image_4 example_image_5

Scaled Image

example_imagesc_1

More examples:

example_imagesc_2 example_imagesc_3 example_imagesc_4

Annotations

The annotations category is meant to create individual objects on the plot rather than representations of data sets. An important difference between the annotations category and other categories is that, by default, the annotations do not replace the plot that already exists in the axes object, even if the user does not call the hold function.

Text

example_text_1

More examples:

example_text_2 example_text_3 example_text_4 example_text_5 example_text_6 example_text_7 example_text_8

Text with Arrow

example_textarrow_1

More examples:

example_textarrow_2

Rectangle

example_rectangle_1

More examples:

example_rectangle_2 example_rectangle_3 example_rectangle_4 example_rectangle_5

The rectangle object can have a border curvature from $0$ to $1$. We can also annotate with text, arrows, polygons, and lines.

Filled Polygon

example_fill_1

Ellipse

example_ellipse_1

Textbox

example_textbox_1

Arrow

example_arrow_1

More examples:

example_arrow_2

Line

example_line_1

Appearance

As a convenience, the colors.h header contains many functions to generate colors from strings and vice-versa.

Labels

Title

example_title_1

More examples:

example_title_2 example_title_3 example_title_4 example_title_5 example_title_6 example_title_7 example_title_8

Subplot Title

example_sgtitle_1

More examples:

example_sgtitle_2

X Label

example_xlabel_1

More examples:

example_xlabel_2 example_xlabel_3 example_xlabel_4 example_xlabel_5 example_xlabel_6 example_xlabel_7 example_xlabel_8

Y Label

example_ylabel_1

More examples:

example_ylabel_2 example_ylabel_3 example_ylabel_4 example_ylabel_5 example_ylabel_6 example_ylabel_7 example_ylabel_8

Z Label

example_zlabel_1

More examples:

example_zlabel_2 example_zlabel_3

Legend

example_legend_1

More examples:

example_legend_2 example_legend_3 example_legend_4 example_legend_5 example_legend_6 example_legend_7 example_legend_8

Axis

X Limits

example_xlim_1

More examples:

example_xlim_2 example_xlim_3 example_xlim_4 example_xlim_5 example_xlim_6

Y Limits

example_ylim_1

More examples:

example_ylim_2 example_ylim_3 example_ylim_4 example_ylim_5 example_ylim_6

Z Limits

example_zlim_1

More examples:

example_zlim_2 example_zlim_3 example_zlim_4 example_zlim_5 example_zlim_6

Adjust Axis

example_axis_1

More examples:

example_axis_2 example_axis_3 example_axis_4 example_axis_5 example_axis_6 example_axis_7 example_axis_8

Box

example_box_1

More examples:

example_box_2 example_box_3

Grid

Grid

example_grid_1

More examples:

example_grid_2 example_grid_3 example_grid_4

X Ticks

example_xticks_1

More examples:

example_xticks_2 example_xticks_3 example_xticks_4 example_xticks_5 example_xticks_6 example_xticks_7 example_xticks_8

Y Ticks

example_yticks_1

More examples:

example_yticks_2 example_yticks_3 example_yticks_4 example_yticks_5 example_yticks_6 example_yticks_7 example_yticks_8

Z Ticks

example_zticks_1

More examples:

example_zticks_2 example_zticks_3 example_zticks_4 example_zticks_5 example_zticks_6

X Tick Labels

example_xticklabels_1

More examples:

example_xticklabels_2 example_xticklabels_3 example_xticklabels_4

Y Tick Labels

example_yticklabels_1

More examples:

example_yticklabels_2 example_yticklabels_3 example_yticklabels_4

X Tick Format

example_xtickformat_1

More examples:

example_xtickformat_2 example_xtickformat_3 example_xtickformat_4 example_xtickformat_5

Y Tick Format

example_ytickformat_1

More examples:

example_ytickformat_2 example_ytickformat_3 example_ytickformat_4 example_ytickformat_5

Z Tick Format

example_ztickformat_1

More examples:

example_ztickformat_2 example_ztickformat_3 example_ztickformat_4 example_ztickformat_5

X Tick Angle

example_xtickangle_1

More examples:

example_xtickangle_2 example_xtickangle_3

Y Tick Angle

example_ytickangle_1

More examples:

example_ytickangle_2 example_ytickangle_3

Multiplot

Hold

example_hold_1

More examples:

example_hold_2 example_hold_3 example_hold_4

YY-axis

example_yyaxis_1

More examples:

example_yyaxis_2 example_yyaxis_3 example_yyaxis_4 example_yyaxis_5 example_yyaxis_6

Color Order

example_colororder_1

More examples:

example_colororder_2 example_colororder_3 example_colororder_4 example_colororder_5 example_colororder_6 example_colororder_7

Subplots

Unlike other libraries, subplots uses 0-based indices.

example_subplot_1

More examples:

example_subplot_2 example_subplot_3 example_subplot_4 example_subplot_5 example_subplot_6 example_subplot_7 example_subplot_8 example_subplot_9 example_subplot_10 example_subplot_11 example_subplot_12 example_subplot_13

Tiled Layout

Our tiling functions are convenience shortcuts for the subplot functions. If there is no room for the next tile, we automatically rearrange the axes and increase the number of subplot rows or columns to fit the next tile. Use subplots for more control over the subplots.

example_tiledlayout_1

More examples:

example_tiledlayout_2 example_tiledlayout_3 example_tiledlayout_4 example_tiledlayout_5 example_tiledlayout_6 example_tiledlayout_7 example_tiledlayout_8

Colormaps

Colormap

example_colormap_1

More examples:

example_colormap_2 example_colormap_3 example_colormap_4 example_colormap_5 example_colormap_6 example_colormap_7 example_colormap_8 example_colormap_9

Color Bar

example_colorbar_1

More examples:

example_colorbar_2 example_colorbar_3 example_colorbar_4 example_colorbar_5 example_colorbar_6 example_colorbar_7

RGB Plot

example_rgbplot_1

More examples:

example_rgbplot_2

Camera

View

example_view_1

More examples:

example_view_2 example_view_3 example_view_4 example_view_5

Lighting

example_lighting_1

More examples:

example_lighting_2 example_lighting_3 example_lighting_4 example_lighting_5 example_lighting_6

Figure Object

example_figure_1

More examples:

example_figure_2 example_figure_3

Line Specs

example_line_spec_1

Axes Object

example_axes_1

More examples:

example_axes_2 example_axes_3

Clear Axes

example_cla_1

More examples:

example_cla_2 example_cla_3

Exporting

Saving (Manually)

The interactive plot window has a widget to save the current figure. Because this widget uses the same backend as the one used to produce the interactive image, the final image matches closely what the user sees in the window.

Saving (Programatically)

You can programatically save the figure in a number of formats with the save function:

save(filename);

or

save(filename, fileformat);

example_save_1

More examples:

example_save_2 example_save_3 example_save_4 example_save_5 example_save_6 example_save_7 example_save_8

The first option (save(filename)) infers the appropriate file format from the filename extension. In both cases (save(filename) and save(filename,fileformat)), this function temporarily changes the backend to a non-interactive backend appropriate to draw the figure. A different backend is used for each format and, depending on the format, the final image does not necessarily match what is on the interactive plot window. The reason is that some file formats purposefully do not include the same features.

For instance, consider the bar chart generated by

 vector<double> x = {29, 17, 14, 13, 12, 4, 11};
 bar(x);

If we export the image with

 save("barchart.svg");

we get the vector graphics

Barchart as SVG file

Exporting the image with

 save("barchart.txt");

generates a representation of the image appropriate for text or markdown files, such as


        30 +-----------------------------------------------------------+
           |    *******   +       +      +       +      +       +      |
           |    *     *                                                |
        25 |-+  *     *                                              +-|
           |    *     *                                                |
           |    *     *                                                |
        20 |-+  *     *                                              +-|
           |    *     *                                                |
           |    *     ********                                         |
        15 |-+  *     **     *                                       +-|
           |    *     **     * *******                                 |
           |    *     **     * *     ******** *******                  |
           |    *     **     * *     **     * *     *        *******   |
        10 |-+  *     **     * *     **     * *     *        *     * +-|
           |    *     **     * *     **     * *     *        *     *   |
           |    *     **     * *     **     * *     *        *     *   |
         5 |-+  *     **     * *     **     * *     ******** *     * +-|
           |    *     **     * *     **     * *     **     * *     *   |
           |    *  +  **  +  * *  +  **  +  * *  +  **  +  * *  +  *   |
         0 +-----------------------------------------------------------+
                   1      2       3      4       5      6       7

As the last example, saving an image with

 save("barchart.tex");

would save the image in a format appropriate to embed in latex documents, such as

Barchart - Latex

This exports the image in a format in which the labels are replaced by latex text so that the plot fits the rest of the document.

Coding styles

Member vs. Free-standing Functions

Like in Matplotlib, we support two coding styles: Free-standing functions and an Object-oriented interface.

Assuming the user is explicitly managing the axes to create plots in another function, a more complete example of these styles could be

// Free-standing functions
auto ax = gca();
plot(ax, x, y)->color("red").line_width(2);
my_function(ax);

and

// Object-oriented interface
auto ax = gca();
ax->plot(x, y)->color("red").line_width(2);
my_function(ax);

Both examples would generate the same plot. All free-standing functions are templated functions that use meta-programming to call the main function on the current axes object. If the first parameter is not an axes_handle, it will get an axes_handle from the figure registry with gca (Section Figures and Axes) and forward all parameters to the function in this axes object. If the first parameter is an axes_handle, the template function will forward all parameters, but the first one, to this axes object. This use of templates for the free-standing functions keeps both coding styles maintainable by the developers.

Note that, because the example needs the axes object for the function my_function, we also need to get a reference to the axes object with the free-standing functions. In that case, the free-standing functions are not less verbose than the object-oriented interface.

To adhere to free-standing functions, we could create two versions of my_function: one that receives an axes_handle, and a second version that would get an axes_handle from the figure registry and call the first version. If my_function is going to be exposed to other users as a library, this could be a convenience to these users. However, notice that this is only moving the verbosity from the main function to my_function. In fact, this is how the free-standing functions in Matplot++ work.

Reactive figures

There are also two modes for figures: reactive (or interactive) mode and quiet mode. Figures in reactive mode are updated whenever any of their child objects change. This happens through the touch function, that gets called on any child object when it changes its appearance. This creates an interactive mode in which figures are updated as soon as we adjust their properties. If we combine interactive figures with free-standing functions, we have a "Matlab-like style" for plots. This is a coding pattern where the figure registry works as a stream for plots. The problem with this coding style is that the user might unnecessarily create useless intermediary plots.

Figures in quiet mode are updated by calling the functions draw() or show() (Section Figures and Axes). Unless these functions are called, nothing changes in the figure. The combination of the object-oriented coding style and quiet mode is the "OO-Matplotlib-like style" for plots. This is a coding style in which the user explicitly decides when the plot is shown or updated. This is beneficial to applications that cannot waste computational resources on intermediary figures that might not be valuable to the application.

We generally use free-standing functions with reactive mode and the object-oriented interface with quiet mode. By default, new figures are in reactive mode, unless it is using an non-interactive backend. One can turn this reactive mode on and off with:

A more complete example of the reactive mode would be:

// Reactive mode
auto f = gcf(false);
auto ax = f->gca();
auto p = ax->plot(ax, x, y);   // draws once
p->color("red").line_width(2); // draws twice more
wait();                        // pause console

For convenience, the examples in Section Plot Categories use the reactive mode. The wait function pauses the console until the user interacts with the plot window. If the backend is based on process pipes, because these are unidirectional, closing the window is not enough to resume. The user needs to use the console to unblock execution. A similar example is quiet mode would be

// Quiet mode
auto f = gcf(true);
auto ax = f->gca();
auto p = ax->plot(x,y);        // does not draw
p->color("red").line_width(2); // does not draw
f->show();                     // draw only once and pause console

In this example, the figure is only updated once. The user could replace the show function with the draw function, but the window would close as soon as execution completes. It is important to use wait() and show() with caution. These functions are meant for some particular executables so that an interactive plot does not close before the user can see it. It is probably unreasonable to call these functions inside a library because the user would have to manually interfere with the execution to continue.

Method Chaining

To support a more compact syntax, the library allows method chaining on plot objects. For instance, we can create a simple line plot and modify its appearance by

// Using the line handle
auto p = plot(x,y,"--gs");
p->line_width(2);
p->marker_size(10);
p->marker_color("b");
p->marker_face_color({.5,.5,.5});

or

// Method chaining
plot(x,y,"--gs")->line_width(2).marker_size(10).marker_color("b").marker_face_color({.5,.5,.5});

The first code snippet works because plot returns a line_handle to the object in the axes. We can use this line handle to modify the line plot. Whenever we modify a property, the setter function calls touch, which will draw the figure again if it is in reactive mode. The second option works because setters return a reference to *this rather than void.

Ranges

The plotting functions work on any range of elements convertible to double. For instance, we can create a line plot from a set of elements by

set<int> y = {6,3,8,2,5};
plot(y);

Any object that has the functions begin and end are considered iterable ranges. Most axes object subclasses use vector<double> or vector<vector<double>> to store their data. For convenience, the common.h header file includes the aliases vector_1d and vector_2d to these data types.

These conversions also work on ranges of ranges:

vector<set<int>> Y = {{6,3,8,2,5},{6,3,5,8,2}};
plot(Y);

Unfortunately, because of how templated functions work, one exception is initializer lists. Initializer lists only work for functions that are explicitly defined for them.

Common Utilities

The headers common.h and colors.h include a number of utilities we use in our examples. These include naive functions to generate and manipulate vectors and strings; handle RGBA color arrays; convert points to and from polar coordinates; read files to strings; write strings to files; calculate gradients; read, write, and manipulate images; and generate vectors with random numbers. Although some of these functions might be helpful, most functions only operate on vector<double> and they are not intended to be a library of utilities. The sole purpose of these algorithms is to simplify the examples.

Motivation and Details

If you are interested in understanding how the library works, you can read the details in the complete article. It describes the relationship between its main objects, the backend interface, how to create new plot categories, limitations, and compares this library with similar alternatives.

Integration

CMake (manual download)

Check if you have Cmake 3.14+ installed:

cmake -version

Download the whole project and add the subdirectory to your Cmake project:

add_subdirectory(matplotplusplus)

When creating your executable, link the library to the targets you want:

add_executable(my_target main.cpp)
target_link_libraries(my_target PUBLIC matplot)

Add this header to your source files:

#include <matplot/matplot.h>

CMake (automatic download)

Check if you have Cmake 3.14+ installed:

cmake -version

Install CPM.cmake and then:

CPMAddPackage(
    NAME matplotplusplus
    GITHUB_REPOSITORY alandefreitas/matplotplusplus
)
# ...
target_link_libraries(my_target PUBLIC matplot)

Then add this header to your source files:

#include <matplot/matplot.h>

Other build systems

Right now, it really doesn't have support for anything other than CMake. If you really want to use it in another build system you pretty much have to rewrite the entire build script.

If you're not using Cmake, your project needs to include the headers and compile all source files in the source directory. You also need to link with the dependencies described in source/3rd_party/CMakeLists.txt.

Then add this header to your source files:

#include <matplot/matplot.h>

Dependencies

This project requires C++17. You can see other dependencies in source/3rd_party/CMakeLists.txt. CMake will try to solve everything for you.

There's an extra target matplot_opengl that exemplifies how an OpenGL backend could be implemented. It's not a complete backend. If you want to test it, only then there are some extra dependencies.

Backends

Coming up with new backends is a continuous process. See the complete article for a description of the backend interface, a description of the current default backend (Gnuplot pipe), and what's involved in possible new backends. See the directory source/matplot/backend for some examples. Also, have a look at this example test/backends/main.cpp.

If you're in a hurry, here is a summary of the backends we have and the backends we have been considering or working on:

Contributing

There are many ways in which you can contribute to this library:

References