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wtf is github-ranking?

evanli/github-ranking — explained in plain English

Analysis updated 2026-06-24

11,123PythonAudience · developerComplexity · 1/5Setup · easy

TL;DR

A daily-updated reference listing the most-starred and most-forked GitHub repositories overall and broken down by programming language.

Mindmap

mindmap
  root((github-ranking))
    What it does
      Daily star counts
      Fork counts
      Per-language top 100
    Data shown
      Project name
      Stars and forks
      Language and description
    How it works
      Python fetch script
      Daily scheduled update
      Git commit history
    Audience
      Developers
      Tech researchers
      Open-source explorers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Discover the most popular open-source libraries in a specific programming language

REASON 2

Research which projects are trending on GitHub to inform technology choices

REASON 3

Browse the top 100 repositories per language to find widely-used tools and frameworks

What's in the stack?

Python

How it stacks up

evanli/github-rankingmicrosoft/promptflowwsvincent/awesome-django
Stars11,12311,12511,099
LanguagePythonPythonPython
Setup difficultyeasymoderateeasy
Complexity1/53/51/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

Wtf does this do

Github-Ranking is a reference project that tracks and publishes the most-starred and most-forked repositories on GitHub. It updates automatically every day, so the numbers stay current rather than becoming stale snapshots. The main README itself is a large data document. It lists the top repositories overall by stars and by forks, then breaks down the top 100 repositories for each programming language individually: Python, JavaScript, Java, Go, Rust, TypeScript, and many others including smaller languages like Haskell, Elixir, and Lua. Each entry shows the project name, its star and fork counts, the primary language, open issue count, a short description, and the date of the last commit. The Python code in the repository handles the data collection and automatic updates. A scheduled process fetches fresh data from GitHub and regenerates the ranking tables on a daily basis. The results are committed directly to the repository, so anyone can browse historical snapshots through the commit history. This is primarily a reference resource rather than a tool you install or run yourself. Its main audience is developers who want a quick overview of which projects are most popular on GitHub, whether for discovering widely-used libraries, understanding what languages are trending, or simply satisfying curiosity about the overall shape of open-source activity. The data is organized so you can jump directly to a specific language's top 100 list without wading through everything else. The full README is longer than what was shown.

Yoink these prompts

Prompt 1
Using github-ranking, show me the top 10 most-starred Python repositories and a one-line description of each
Prompt 2
How does the github-ranking Python script fetch data from GitHub and commit updated rankings automatically?
Prompt 3
How can I fork github-ranking and modify the Python script to track repositories by topic rather than by language?

Frequently asked questions

wtf is github-ranking?

A daily-updated reference listing the most-starred and most-forked GitHub repositories overall and broken down by programming language.

What language is github-ranking written in?

Mainly Python. The stack also includes Python.

How hard is github-ranking to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is github-ranking for?

Mainly developer.

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