Which Github Repositories Were Popular/Trending in January 2020?
The star counts displayed are a snapshot of how many stars the repositories listed had at the end of January 2020
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python...
A complete computer science study plan to become a software engineer.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
An opinionated list of awesome Python frameworks, libraries, software and resources.
Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
Productive, portable, and performant GPU programming in Python.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
:bathtub: Clean Code concepts adapted for JavaScript
A simplified Jira clone built with React/Babel (Client), and Node/TypeScript (API). Auto formatted with Prettier, tested with Cypress.
The best way to write secure and reliable applications. Write nothing; deploy nowhere.
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
Reverse engineering focusing on x64 Windows.
A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. Ide...
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A new way to see and navigate directory trees : https://dystroy.org/broot
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A simplified Jira clone built with React/Babel (Client), and Node/TypeScript (API). Auto formatted with Prettier, tested with Cypress.
A self hosted virtual browser (rabb.it clone) that runs in docker.
Micronetes is a local orchestrator inspired by kubernetes that makes developing and testing microservices and distributed applications easier.
Flax is a neural network library for JAX that is designed for flexibility.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Go fearless SQL. Sqlvet performs static analysis on raw SQL queries in your Go code base.
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. ...
The NES (emulator) you left outside in the rain but let dry and still kind of works
The C# Language Integrated Queries ported for Javascript for amazing performance
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Most popular and easy to use open source UI library with 1000+ Widgets to build flutter app.
2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
The best way to build Electron apps with security in mind.
Matx -Free and open-source React Material UI Admin Dashboard Template
A simple method to perform semi-supervised learning with limited data.
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