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ai-agent

Github-Ranking-AI: Top AI Repos

Find popular AI repositories with Github-Ranking-AI. For founders using AI tools.
beginner⏱ 5 minutesπŸ’΅ Free
453 stars37 forksPythonQuality 8/10Updated 7/12/2026100% free Β· open source
What it is

Get a list of popular AI Topic repositories on GitHub ranked by the number of stars they have received, which is updated daily.

What you can make with it

Automations like: list of top AI-related repos on GitHub for a new project or research paper.

How it helps

This makes it easier to discover relevant projects and build upon existing knowledge in AI, which saves time and effort.

Real use case example

"A founder, looking to collaborate with other researchers, uses GitHub-Ranking-AI to gather the top 5 AI-related repositories on GitHub and identifies a potential partner project."

If you're new

Beginners can use GitHub-Ranking-AI to understand what types of AI projects are popular and trending.

If you're senior

Senior engineers and developers can leverage GitHub-Ranking-AI to discover new AI repositories or track changes in the popularity of existing ones.

Common confusion cleared up

It uses GitHub stars to rank repositories, which may not accurately reflect the quality or relevance of the project content.

Best inside these AI tools
Any AI Client
Pairs with
Claude APIResendNotion database
Why we list it on WorkflowStacks: We include GitHub-Ranking-AI as it provides quick access to popular AI Topic repositories.
What it does

Finds the most popular AI-related repositories on GitHub based on the number of stars they have received.

Install / run
Clone the repository using the command `git clone https://github.com/yuxiaopeng/Github-Ranking-AI.git`
When to use it
  • β€’When researching AI tools and libraries for a startup project
  • β€’When looking for inspiration or examples of successful AI implementations
  • β€’When trying to stay up-to-date with the latest developments in the AI community
Quick start
  1. 1Navigate to the cloned repository using `cd Github-Ranking-AI`
  2. 2Check the `README.md` file for an overview of the project and its functionality
  3. 3Review the `ranking` directory for the daily updated rankings of AI-related repositories
  4. 4Use the rankings to explore and discover new AI repositories and projects
  5. 5Check the GitHub repository's issues and pull requests for community discussions and contributions
Ready-to-paste prompt
Explore the rankings by opening the `ranking` directory and looking for repositories with the most stars, such as `cat ranking/ai_ranking.md | grep ' tensorflow '`
Heads up: The rankings are based on the number of stars received by each repository, which may not always reflect the repository's quality, relevance, or usefulness for a specific project or use case.
Saves to your device

Topics

ai
chatgpt
github-stars
llm
python
ranking
stars
What's inside β€” free to inspect
No purchase needed

Read the entire source before you build β€” unlike paid marketplaces that hide it behind a buy button.

8
top-level files
4
folders
31.6M
repo size
MIT
license
Key files
_config.yml
README.md
requirements.txt
File tree
.github/
Data/
source/
Top100/
_config.yml
.gitignore
auto_run.sh
Gemfile
LICENSE
ranking.log
README.md
requirements.txt
Quick Actions
Details
Creator
yuxiaopeng
Language
Python
Category
ai-agent
Published
5/18/2023

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