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  1. algorithm
  2. android
  3. angular
  4. ansible
  5. api
  6. apps
  7. artificial-intelligence
  8. assembly
  9. async
  10. asyncio
  11. autocomplete
  12. automation
  13. awesome
  14. awesome-list
  15. aws
  16. aws-cli
  17. aws-lambda
  18. bash
  19. big-data
  20. bitcoin
  21. bittorrent
  22. bot
  23. caffe
  24. chainer
  25. chatbot
  26. cheatsheet
  27. cli
  28. cli-app
  29. client
  30. cloud
  31. cloud-management
  32. cms
  33. color-scheme
  34. command-line
  35. command-line-tool
  36. competitive-programming
  37. computer-vision
  38. console
  39. crawler
  40. crawling
  41. cross-platform
  42. curl
  43. data-analysis
  44. data-mining
  45. data-science
  46. data-structure
  47. database
  48. debugger
  49. decentralized
  50. deep-learning
  51. deep-neural-networks
  52. deep-reinforcement-learning
  53. design-patterns
  54. developer-tools
  55. development
  56. devops
  57. django
  58. docker
  59. documentation
  60. face-detection
  61. face-recognition
  62. finance
  63. fish
  64. flask
  65. font
  66. forhumans
  67. framework
  68. free
  69. gan
  70. gdb
  71. gif
  72. git
  73. github
  74. google
  75. hadoop
  76. http
  77. http-client
  78. http-server
  79. interview
  80. interview-practice
  81. interview-questions
  82. ipython
  83. javascript
  84. jinja
  85. json
  86. jupyter
  87. kennethreitz
  88. keras
  89. kivy
  90. lambda
  91. letsencrypt
  92. linux
  93. machine-learning
  94. macos
  95. malware
  96. mongodb
  97. monitoring
  98. mqtt
  99. music
  100. mxnet
  101. mysql
  102. natural-language-processing
  103. neural-network
  104. neural-networks
  105. news
  106. nginx
  107. nlp
  108. nltk
  109. numpy
  110. object-detection
  111. orm
  112. otf
  113. p2p
  114. packaging
  115. pandas
  116. postgres
  117. postgresql
  118. powerline
  119. privacy
  120. programming
  121. proxy
  122. pytorch
  123. redis
  124. redshift
  125. reinforcement-learning
  126. rest
  127. scikit-learn
  128. script
  129. security
  130. serverless
  131. serverless-framework
  132. shell
  133. slack
  134. snippets
  135. sql
  136. sublime-text
  137. syntax-highlighting
  138. system
  139. telegram
  140. templates
  141. tensorflow
  142. terminal
  143. testing
  144. theano
  145. theme
  146. tutorial
  147. twitter
  148. utilities
  149. utility
  150. video
  151. vim
  152. visualization
  153. vpn
  154. web
  155. wechat
  156. werkzeug
  157. windows
  158. wsgi
  159. zsh

algorithm

  1. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  2. algorithms. Minimal examples of data structures and algorithms in Python
  3. Python. All Algorithms implemented in Python
  4. LeetCode. 📝 Python / C++ 11 Solutions of All LeetCode Questions

android

  1. kivy. Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
  2. python-for-android. Turn your Python application into an Android APK

angular

  1. redash. Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.
  2. ajenti. Ajenti Core and stock plugins

ansible

  1. ansible. Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com/ansible/
  2. algo. Set up a personal IPSEC VPN in the cloud
  3. awx. AWX Project

api

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. ItChat. A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。
  3. httpbin. HTTP Request & Response Service, written in Python + Flask.
  4. falcon. Falcon is a bare-metal Python web API framework for building high-performance microservices, app backends, and higher-level frameworks.
  5. wxpy. 微信机器人 / 可能是最优雅的微信个人号 API ✨✨
  6. WeixinBot. 网页版微信API，包含终端版微信及微信机器人
  7. apistar. A smart Web API framework, designed for Python 3. 🌟

apps

  1. django. The Web framework for perfectionists with deadlines.
  2. odoo. Odoo. Open Source Apps To Grow Your Business.

artificial-intelligence

  1. incubator-mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
  2. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  3. nupic. Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
  4. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

assembly

  1. SASM. SASM - simple crossplatform IDE for NASM, MASM, GAS and FASM assembly languages
  2. pwntools. CTF framework and exploit development library

async

  1. aiohttp. HTTP client/server framework for asyncio
  2. uvloop. Ultra fast asyncio event loop.

asyncio

  1. home-assistant. 🏡 Open-source home automation platform running on Python 3
  2. aiohttp. HTTP client/server framework for asyncio
  3. uvloop. Ultra fast asyncio event loop.
  4. gevent. Coroutine-based concurrency library for Python

autocomplete

  1. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  2. SublimeCodeIntel. 💡 Full-featured code intelligence and smart autocomplete for Sublime Text

automation

  1. InstaPy. 📷 Instagram Bot - Like/Comment/Follow Automation Script
  2. tpot. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  3. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

awesome

  1. awesome-python. A curated list of awesome Python frameworks, libraries, software and resources
  2. awesome-scala. A community driven list of useful Scala libraries, frameworks and software.
  3. codeface. Typefaces for source code beautification
  4. awesome-cheatsheet. 🍻 awesome cheatsheet

awesome-list

  1. Awesome-Linux-Software. 🐧 A list of awesome applications, software, tools and other materials for Linux distros.
  2. awesome-scala. A community driven list of useful Scala libraries, frameworks and software.
  3. codeface. Typefaces for source code beautification

aws

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. localstack. 💻 A fully functional local AWS cloud stack. Develop and test your cloud apps offline!
  3. aws-cli. Universal Command Line Interface for Amazon Web Services
  4. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  5. chalice. Python Serverless Microframework for AWS
  6. aws-shell. An integrated shell for working with the AWS CLI.
  7. saws. A supercharged AWS command line interface (CLI).

aws-cli

  1. aws-cli. Universal Command Line Interface for Amazon Web Services
  2. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  3. aws-shell. An integrated shell for working with the AWS CLI.
  4. saws. A supercharged AWS command line interface (CLI).

aws-lambda

  1. Zappa. Serverless Python
  2. chalice. Python Serverless Microframework for AWS

bash

  1. powerline. Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.
  2. powerline-shell. A beautiful and useful prompt for your shell

big-data

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  3. Stream-Framework. Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:

bitcoin

  1. ZeroNet. ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network
  2. lbry. A fully decentralized network for distributing data

bittorrent

  1. ZeroNet. ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network
  2. lbry. A fully decentralized network for distributing data

bot

  1. python-telegram-bot. We have made you a wrapper you can't refuse
  2. trump2cash. A stock trading bot powered by Trump tweets
  3. InstaPy. 📷 Instagram Bot - Like/Comment/Follow Automation Script
  4. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

caffe

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. have-fun-with-machine-learning. An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
  3. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

chainer

  1. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
  2. chainer. A flexible framework of neural networks for deep learning

chatbot

  1. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  2. ChatterBot. ChatterBot is a machine learning, conversational dialog engine for creating chat bots
  3. python-telegram-bot. We have made you a wrapper you can't refuse
  4. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

cheatsheet

  1. awesome-cheatsheet. 🍻 awesome cheatsheet
  2. pysheeet. Python Cheat Sheet

cli

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. python-fire. Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
  3. beets. music library manager and MusicBrainz tagger
  4. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  5. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  6. click. Python composable command line utility
  7. tqdm. A fast, extensible progress bar for Python and CLI
  8. legit. Git for Humans, Inspired by GitHub for Mac™.
  9. ngxtop. Real-time metrics for nginx server
  10. q. q - Run SQL directly on CSV or TSV files
  11. saws. A supercharged AWS command line interface (CLI).

cli-app

  1. Awesome-Linux-Software. 🐧 A list of awesome applications, software, tools and other materials for Linux distros.
  2. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools

client

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  3. saws. A supercharged AWS command line interface (CLI).

cloud

  1. aws-cli. Universal Command Line Interface for Amazon Web Services
  2. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  3. chalice. Python Serverless Microframework for AWS
  4. aws-shell. An integrated shell for working with the AWS CLI.
  5. saws. A supercharged AWS command line interface (CLI).

cloud-management

  1. salt. Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:
  2. aws-cli. Universal Command Line Interface for Amazon Web Services
  3. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  4. aws-shell. An integrated shell for working with the AWS CLI.
  5. saws. A supercharged AWS command line interface (CLI).

cms

  1. django-cms. The easy-to-use and developer-friendly CMS
  2. wagtail. A Django content management system focused on flexibility and user experience

color-scheme

  1. iTerm2-Color-Schemes. Over 175 terminal color schemes/themes for iTerm/iTerm2 (with ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, and Terminator)
  2. powerline-shell. A beautiful and useful prompt for your shell
  3. GitGutter. A Sublime Text 2/3 plugin to see git diff in gutter

command-line

  1. tldr. 📚 Simplified and community-driven man pages
  2. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  3. q. q - Run SQL directly on CSV or TSV files

command-line-tool

  1. autojump. A cd command that learns - easily navigate directories from the command line
  2. q. q - Run SQL directly on CSV or TSV files

competitive-programming

  1. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  2. algorithms. Minimal examples of data structures and algorithms in Python

computer-vision

  1. BossSensor. Hide screen when boss is approaching.
  2. facenet. Face recognition using Tensorflow
  3. pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
  4. TensorFlow-World. 🌎 Simple and ready-to-use tutorials for TensorFlow

console

  1. tldr. 📚 Simplified and community-driven man pages
  2. tqdm. A fast, extensible progress bar for Python and CLI

crawler

  1. scrapy. Scrapy, a fast high-level web crawling & scraping framework for Python.
  2. pyspider. A Powerful Spider(Web Crawler) System in Python.
  3. newspaper. News, full-text, and article metadata extraction in Python 3. Advanced docs:

crawling

  1. scrapy. Scrapy, a fast high-level web crawling & scraping framework for Python.
  2. newspaper. News, full-text, and article metadata extraction in Python 3. Advanced docs:

cross-platform

  1. Awesome-Linux-Software. 🐧 A list of awesome applications, software, tools and other materials for Linux distros.
  2. Pillow. The friendly PIL fork (Python Imaging Library)

curl

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. wttr.in. ⛅ The right way to check the weather

data-analysis

  1. scikit-learn. scikit-learn: machine learning in Python
  2. pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

data-mining

  1. ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
  2. gensim. Topic Modelling for Humans

data-science

  1. keras. Deep Learning for humans
  2. scikit-learn. scikit-learn: machine learning in Python
  3. ipython. Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
  4. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  5. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  6. ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
  7. tflearn. Deep learning library featuring a higher-level API for TensorFlow.
  8. gensim. Topic Modelling for Humans
  9. dash. Interactive, Reactive Web Apps for Python. Dash Is Productive™
  10. data-science-blogs. A curated list of data science blogs
  11. tpot. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  12. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

data-structure

  1. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  2. algorithms. Minimal examples of data structures and algorithms in Python
  3. LeetCode. 📝 Python / C++ 11 Solutions of All LeetCode Questions

database

  1. sqlmap. Automatic SQL injection and database takeover tool
  2. pgcli. Postgres CLI with autocompletion and syntax highlighting
  3. mycli. A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.

debugger

  1. gdb-dashboard. Modular visual interface for GDB in Python
  2. voltron. A hacky debugger UI for hackers

decentralized

  1. ZeroNet. ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network
  2. lbry. A fully decentralized network for distributing data

deep-learning

  1. keras. Deep Learning for humans
  2. Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
  3. incubator-mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
  4. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  5. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  6. pix2code. pix2code: Generating Code from a Graphical User Interface Screenshot
  7. ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
  8. tflearn. Deep learning library featuring a higher-level API for TensorFlow.
  9. MLAlgorithms. Minimal and clean examples of machine learning algorithms
  10. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  11. fast-style-transfer. TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
  12. pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers
  13. BossSensor. Hide screen when boss is approaching.
  14. DeepLearningFlappyBird. Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
  15. facenet. Face recognition using Tensorflow
  16. pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
  17. TensorFlow-World. 🌎 Simple and ready-to-use tutorials for TensorFlow
  18. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
  19. chainer. A flexible framework of neural networks for deep learning
  20. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

deep-neural-networks

  1. incubator-mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
  2. pix2code. pix2code: Generating Code from a Graphical User Interface Screenshot

deep-reinforcement-learning

  1. ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
  2. DeepLearningFlappyBird. Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

design-patterns

  1. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  2. python-patterns. A collection of design patterns/idioms in Python

developer-tools

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  3. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  4. codeface. Typefaces for source code beautification
  5. powerline-shell. A beautiful and useful prompt for your shell
  6. saws. A supercharged AWS command line interface (CLI).

development

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  3. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  4. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  5. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  6. saws. A supercharged AWS command line interface (CLI).

devops

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. sentry. Sentry is cross-platform application monitoring, with a focus on error reporting.

django

  1. django. The Web framework for perfectionists with deadlines.
  2. sentry. Sentry is cross-platform application monitoring, with a focus on error reporting.
  3. Zappa. Serverless Python
  4. django-cms. The easy-to-use and developer-friendly CMS
  5. wagtail. A Django content management system focused on flexibility and user experience
  6. awx. AWX Project

docker

  1. compose. Define and run multi-container applications with Docker
  2. nginx-proxy. Automated nginx proxy for Docker containers using docker-gen
  3. docker_practice. Learn and understand Docker technologies, with real DevOps practice!
  4. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

documentation

  1. tldr. 📚 Simplified and community-driven man pages
  2. wtfpython. A collection of surprising Python snippets and lesser-known features.

face-detection

  1. face_recognition. The world's simplest facial recognition api for Python and the command line
  2. facenet. Face recognition using Tensorflow

face-recognition

  1. face_recognition. The world's simplest facial recognition api for Python and the command line
  2. facenet. Face recognition using Tensorflow

finance

  1. tushare. TuShare is a utility for crawling historical data of China stocks
  2. dash. Interactive, Reactive Web Apps for Python. Dash Is Productive™

fish

  1. powerline. Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.
  2. powerline-shell. A beautiful and useful prompt for your shell

flask

  1. flask. The Python micro framework for building web applications.
  2. Zappa. Serverless Python
  3. eve. REST API framework designed for human beings
  4. dash. Interactive, Reactive Web Apps for Python. Dash Is Productive™
  5. flasky. Companion code to my O'Reilly book "Flask Web Development", second edition.

font

  1. source-code-pro. Monospaced font family for user interface and coding environments
  2. codeface. Typefaces for source code beautification
  3. fantasque-sans. A font family with a great monospaced variant for programmers.

forhumans

  1. requests. Python HTTP Requests for Humans™ ✨🍰✨
  2. records. SQL for Humans™

framework

  1. django. The Web framework for perfectionists with deadlines.
  2. scrapy. Scrapy, a fast high-level web crawling & scraping framework for Python.
  3. falcon. Falcon is a bare-metal Python web API framework for building high-performance microservices, app backends, and higher-level frameworks.
  4. python-telegram-bot. We have made you a wrapper you can't refuse

free

  1. Awesome-Linux-Software. 🐧 A list of awesome applications, software, tools and other materials for Linux distros.
  2. zulip. Zulip server - powerful open source team chat

gan

  1. pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
  2. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

gdb

  1. gdb-dashboard. Modular visual interface for GDB in Python
  2. voltron. A hacky debugger UI for hackers

gif

  1. moviepy. Video editing with Python
  2. qrcode. artistic QR Code in Python （Animated GIF qr code）- Python 艺术二维码生成器 （GIF动态二维码、图片二维码）

git

  1. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  2. legit. Git for Humans, Inspired by GitHub for Mac™.

github

  1. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  2. HelloGitHub. :octocat:分享 GitHub 上好玩、容易上手的项目，帮你找到编程的乐趣。欢迎推荐、自荐项目，让更多人知道你的项目⭐️

google

  1. yapf. A formatter for Python files
  2. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

hadoop

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. luigi. Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

http

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. requests. Python HTTP Requests for Humans™ ✨🍰✨
  3. mitmproxy. An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
  4. locust. Scalable user load testing tool written in Python
  5. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  6. httpbin. HTTP Request & Response Service, written in Python + Flask.
  7. falcon. Falcon is a bare-metal Python web API framework for building high-performance microservices, app backends, and higher-level frameworks.
  8. aiohttp. HTTP client/server framework for asyncio
  9. gunicorn. gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
  10. werkzeug. The comprehensive WSGI web application library.

http-client

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  3. aiohttp. HTTP client/server framework for asyncio

http-server

  1. httpbin. HTTP Request & Response Service, written in Python + Flask.
  2. aiohttp. HTTP client/server framework for asyncio
  3. gunicorn. gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.

interview

  1. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  2. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  3. algorithms. Minimal examples of data structures and algorithms in Python

interview-practice

  1. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  2. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interview-questions

  1. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  2. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

ipython

  1. ipython. Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
  2. powerline. Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.

javascript

  1. reddit. historical code from reddit.com
  2. bokeh. Interactive Web Plotting for Python
  3. zulip. Zulip server - powerful open source team chat
  4. ajenti. Ajenti Core and stock plugins
  5. awx. AWX Project

jinja

  1. flask. The Python micro framework for building web applications.
  2. jinja. The Jinja2 template engine

json

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. chinese-poetry. 最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。
  3. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  4. httpbin. HTTP Request & Response Service, written in Python + Flask.

jupyter

  1. ipython. Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
  2. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

kennethreitz

  1. requests. Python HTTP Requests for Humans™ ✨🍰✨
  2. pipenv. Python Development Workflow for Humans.
  3. legit. Git for Humans, Inspired by GitHub for Mac™.
  4. records. SQL for Humans™

keras

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
  3. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

kivy

  1. kivy. Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
  2. python-for-android. Turn your Python application into an Android APK

lambda

  1. Zappa. Serverless Python
  2. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  3. chalice. Python Serverless Microframework for AWS

letsencrypt

  1. certbot. Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
  2. nginx-proxy. Automated nginx proxy for Docker containers using docker-gen

linux

  1. linux-insides. A little bit about a linux kernel
  2. kivy. Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
  3. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  4. musicbox. 网易云音乐命令行版本
  5. ajenti. Ajenti Core and stock plugins
  6. saws. A supercharged AWS command line interface (CLI).

machine-learning

  1. keras. Deep Learning for humans
  2. scikit-learn. scikit-learn: machine learning in Python
  3. incubator-mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
  4. face_recognition. The world's simplest facial recognition api for Python and the command line
  5. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  6. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  7. ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
  8. tflearn. Deep learning library featuring a higher-level API for TensorFlow.
  9. gensim. Topic Modelling for Humans
  10. MLAlgorithms. Minimal and clean examples of machine learning algorithms
  11. nltk. NLTK Source
  12. pattern. Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
  13. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  14. ChatterBot. ChatterBot is a machine learning, conversational dialog engine for creating chat bots
  15. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  16. BossSensor. Hide screen when boss is approaching.
  17. have-fun-with-machine-learning. An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
  18. pysc2. StarCraft II Learning Environment
  19. data-science-blogs. A curated list of data science blogs
  20. tpot. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  21. TensorFlow-World. 🌎 Simple and ready-to-use tutorials for TensorFlow
  22. chainer. A flexible framework of neural networks for deep learning
  23. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

macos

  1. macOS-Security-and-Privacy-Guide. A practical guide to securing macOS.
  2. kivy. Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
  3. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  4. mac-setup. Installing Development environment on macOS
  5. saws. A supercharged AWS command line interface (CLI).

malware

  1. hosts. Extending and consolidating hosts files from several well-curated sources like adaway.org, mvps.org, malwaredomainlist.com, someonewhocares.org, and potentially others. You can optionally invoke extensions to block additional sites by category.
  2. wifiphisher. The Rogue Access Point Framework

mongodb

  1. eve. REST API framework designed for human beings
  2. WebHubBot. Python + Scrapy + MongoDB . 5 million data per day !!!💥 The world's largest website.

monitoring

  1. sentry. Sentry is cross-platform application monitoring, with a focus on error reporting.
  2. glances. Glances an Eye on your system. A top/htop alternative.
  3. ngxtop. Real-time metrics for nginx server

mqtt

  1. home-assistant. 🏡 Open-source home automation platform running on Python 3
  2. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

music

  1. beets. music library manager and MusicBrainz tagger
  2. musicbox. 网易云音乐命令行版本
  3. iScript. 各种脚本 -- 关于 虾米 xiami.com, 百度网盘 pan.baidu.com, 115网盘 115.com, 网易音乐 music.163.com, 百度音乐 music.baidu.com, 360网盘/云盘 yunpan.cn, 视频解析 flvxz.com, bt torrent ↔ magnet, ed2k 搜索, tumblr 图片下载, unzip

mxnet

  1. incubator-mxnet. Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
  2. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

mysql

  1. redash. Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.
  2. mycli. A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.
  3. PyMySQL. Pure Python MySQL Client

natural-language-processing

  1. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  2. gensim. Topic Modelling for Humans
  3. nltk. NLTK Source
  4. pattern. Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
  5. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  6. TextBlob. Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

neural-network

  1. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  2. tflearn. Deep learning library featuring a higher-level API for TensorFlow.
  3. gensim. Topic Modelling for Humans
  4. have-fun-with-machine-learning. An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
  5. TensorFlow-World. 🌎 Simple and ready-to-use tutorials for TensorFlow
  6. chainer. A flexible framework of neural networks for deep learning
  7. seq2seq. A general-purpose encoder-decoder framework for Tensorflow
  8. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

neural-networks

  1. keras. Deep Learning for humans
  2. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  3. MLAlgorithms. Minimal and clean examples of machine learning algorithms
  4. fast-style-transfer. TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼
  5. pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers
  6. chainer. A flexible framework of neural networks for deep learning

news

  1. newspaper. News, full-text, and article metadata extraction in Python 3. Advanced docs:
  2. Stream-Framework. Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:

nginx

  1. nginx-proxy. Automated nginx proxy for Docker containers using docker-gen
  2. ngxtop. Real-time metrics for nginx server

nlp

  1. spaCy. 💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
  2. gensim. Topic Modelling for Humans
  3. nltk. NLTK Source
  4. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  5. TextBlob. Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

nltk

  1. nltk. NLTK Source
  2. TextBlob. Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

numpy

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. chainer. A flexible framework of neural networks for deep learning

object-detection

  1. Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
  2. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

orm

  1. django. The Web framework for perfectionists with deadlines.
  2. records. SQL for Humans™

otf

  1. source-code-pro. Monospaced font family for user interface and coding environments
  2. codeface. Typefaces for source code beautification

p2p

  1. ZeroNet. ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network
  2. lbry. A fully decentralized network for distributing data

packaging

  1. pipenv. Python Development Workflow for Humans.
  2. python-for-android. Turn your Python application into an Android APK

pandas

  1. pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
  2. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  3. tushare. TuShare is a utility for crawling historical data of China stocks

postgres

  1. pgcli. Postgres CLI with autocompletion and syntax highlighting
  2. records. SQL for Humans™

postgresql

  1. redash. Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.
  2. pgcli. Postgres CLI with autocompletion and syntax highlighting

powerline

  1. powerline. Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.
  2. powerline-shell. A beautiful and useful prompt for your shell

privacy

  1. macOS-Security-and-Privacy-Guide. A practical guide to securing macOS.
  2. hosts. Extending and consolidating hosts files from several well-curated sources like adaway.org, mvps.org, malwaredomainlist.com, someonewhocares.org, and potentially others. You can optionally invoke extensions to block additional sites by category.

programming

  1. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  2. interactive-coding-challenges. Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
  3. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  4. saws. A supercharged AWS command line interface (CLI).

proxy

  1. XX-Net. a web proxy tool
  2. mitmproxy. An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.

pytorch

  1. pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers
  2. pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
  3. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

redis

  1. celery. Distributed Task Queue (development branch)
  2. rq. Simple job queues for Python
  3. Stream-Framework. Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:

redshift

  1. redash. Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.
  2. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

reinforcement-learning

  1. pysc2. StarCraft II Learning Environment
  2. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

rest

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. falcon. Falcon is a bare-metal Python web API framework for building high-performance microservices, app backends, and higher-level frameworks.
  3. eve. REST API framework designed for human beings
  4. apistar. A smart Web API framework, designed for Python 3. 🌟

scikit-learn

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. tpot. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

script

  1. InstaPy. 📷 Instagram Bot - Like/Comment/Follow Automation Script
  2. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

security

  1. macOS-Security-and-Privacy-Guide. A practical guide to securing macOS.
  2. mitmproxy. An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
  3. algo. Set up a personal IPSEC VPN in the cloud
  4. wifiphisher. The Rogue Access Point Framework
  5. routersploit. The Router Exploitation Framework

serverless

  1. Zappa. Serverless Python
  2. awesome-aws. A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
  3. chalice. Python Serverless Microframework for AWS

serverless-framework

  1. Zappa. Serverless Python
  2. chalice. Python Serverless Microframework for AWS

shell

  1. thefuck. Magnificent app which corrects your previous console command.
  2. tldr. 📚 Simplified and community-driven man pages
  3. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  4. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  5. powerline-shell. A beautiful and useful prompt for your shell
  6. saws. A supercharged AWS command line interface (CLI).

slack

  1. zulip. Zulip server - powerful open source team chat
  2. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

snippets

  1. wtfpython. A collection of surprising Python snippets and lesser-known features.
  2. SublimeCodeIntel. 💡 Full-featured code intelligence and smart autocomplete for Sublime Text

sql

  1. q. q - Run SQL directly on CSV or TSV files
  2. records. SQL for Humans™

sublime-text

  1. material-theme. Material Theme, the most epic theme for Sublime Text 3 by Mattia Astorino
  2. SublimeCodeIntel. 💡 Full-featured code intelligence and smart autocomplete for Sublime Text
  3. GitGutter. A Sublime Text 2/3 plugin to see git diff in gutter

syntax-highlighting

  1. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  2. mycli. A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.

system

  1. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  2. glances. Glances an Eye on your system. A top/htop alternative.

telegram

  1. python-telegram-bot. We have made you a wrapper you can't refuse
  2. PokemonGo-Bot. The Pokemon Go Bot, baking with community.

templates

  1. django. The Web framework for perfectionists with deadlines.
  2. jinja. The Jinja2 template engine

tensorflow

  1. keras. Deep Learning for humans
  2. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  3. tflearn. Deep learning library featuring a higher-level API for TensorFlow.
  4. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  5. Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
  6. facenet. Face recognition using Tensorflow
  7. TensorFlow-World. 🌎 Simple and ready-to-use tutorials for TensorFlow
  8. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.
  9. seq2seq. A general-purpose encoder-decoder framework for Tensorflow
  10. tensorlayer. TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

terminal

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. tldr. 📚 Simplified and community-driven man pages
  3. glances. Glances an Eye on your system. A top/htop alternative.
  4. iTerm2-Color-Schemes. Over 175 terminal color schemes/themes for iTerm/iTerm2 (with ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, and Terminator)
  5. http-prompt. HTTPie + prompt_toolkit = an interactive command-line HTTP client featuring autocomplete and syntax highlighting
  6. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  7. tqdm. A fast, extensible progress bar for Python and CLI
  8. asciinema. Terminal session recorder 📹
  9. wttr.in. ⛅ The right way to check the weather
  10. saws. A supercharged AWS command line interface (CLI).

testing

  1. faker. Faker is a Python package that generates fake data for you.
  2. httpbin. HTTP Request & Response Service, written in Python + Flask.

theano

  1. data-science-ipython-notebooks. Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
  2. deepo. A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

theme

  1. material-theme. Material Theme, the most epic theme for Sublime Text 3 by Mattia Astorino
  2. iTerm2-Color-Schemes. Over 175 terminal color schemes/themes for iTerm/iTerm2 (with ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remina, Termite, XFCE, Tilda, and Terminator)
  3. powerline-shell. A beautiful and useful prompt for your shell

tutorial

  1. stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
  2. pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers
  3. have-fun-with-machine-learning. An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

twitter

  1. tweepy. Twitter for Python!
  2. trump2cash. A stock trading bot powered by Trump tweets

utilities

  1. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  2. tqdm. A fast, extensible progress bar for Python and CLI
  3. saws. A supercharged AWS command line interface (CLI).

utility

  1. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  2. saws. A supercharged AWS command line interface (CLI).

video

  1. coursera-dl. Script for downloading Coursera.org videos and naming them.
  2. moviepy. Video editing with Python

vim

  1. YouCompleteMe. A code-completion engine for Vim
  2. powerline. Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.

visualization

  1. redash. Make Your Company Data Driven. Connect to any data source, easily visualize and share your data.
  2. bokeh. Interactive Web Plotting for Python

vpn

  1. XX-Net. a web proxy tool
  2. algo. Set up a personal IPSEC VPN in the cloud

web

  1. httpie. Modern command line HTTP client – user-friendly curl alternative with intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc. https://httpie.org
  2. django. The Web framework for perfectionists with deadlines.
  3. system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
  4. ZeroNet. ZeroNet - Decentralized websites using Bitcoin crypto and BitTorrent network
  5. glances. Glances an Eye on your system. A top/htop alternative.
  6. django-cms. The easy-to-use and developer-friendly CMS
  7. falcon. Falcon is a bare-metal Python web API framework for building high-performance microservices, app backends, and higher-level frameworks.

wechat

  1. ItChat. A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。
  2. wxpy. 微信机器人 / 可能是最优雅的微信个人号 API ✨✨
  3. wechat-deleted-friends. 查看被删的微信好友
  4. WeixinBot. 网页版微信API，包含终端版微信及微信机器人

werkzeug

  1. flask. The Python micro framework for building web applications.
  2. werkzeug. The comprehensive WSGI web application library.

windows

  1. kivy. Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
  2. gitsome. A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
  3. saws. A supercharged AWS command line interface (CLI).

wsgi

  1. flask. The Python micro framework for building web applications.
  2. gunicorn. gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
  3. werkzeug. The comprehensive WSGI web application library.

zsh

  1. powerline. Powerline is a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, tmux, IPython, Awesome and Qtile.
  2. powerline-shell. A beautiful and useful prompt for your shell