Awesome

GitHub projects from awesome lists

Search awesome repositories

Search names, descriptions, topics, tags, and stacks, then tune results by ecosystem, freshness, health, and cross-list signal.

Repos indexed
17,373
Awesome lists tracked
125
Current results
6

Find repositories

Start broad, then narrow by ecosystem, freshness, health, and growth.

Clear 1 refinement
Search mode
Tune results
More filters Topics, generated tags, stack, files, age, archive status, and growth.
Ecosystem
Files

Choose a suggestion or use commas to require multiple files.

Health

Uses known first-commit dates.

Momentum
Filters by observed commit-count growth over the repository's latest 7-day capture window. Repositories without a recent baseline are excluded.
Filters by observed GitHub star growth over the repository's latest 7-day capture window. Repositories without a recent baseline are excluded.
Reset filters
Highlighted

Open highlighted repo slot

Put your repository first

Promote a GitHub repo at the top of Awesome repository list views for 7 days.

shap/shap

A game theoretic approach to explain the output of any machine learning model.

AI dev
Updated
2026-07-15
Lists
2 list mentions
First commit
2016-11-22
History
7 history points
License
MIT
Issues
1,038 open
Forks
3,729
Commits
3,027 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

AI dev
Updated
2026-07-13
Lists
3 list mentions
First commit
2019-05-03
History
7 history points
License
MIT
Issues
48 open
Forks
781
Commits
3,967 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Updated
2026-07-09
Lists
2 list mentions
First commit
2020-05-29
History
5 history points
License
Apache-2.0
Issues
47 open
Forks
388
Commits
1,991 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%
CodeBoarding/CodeBoarding

Interactive architecture diagrams for codebases

AI dev
Updated
2026-07-16
Lists
0 list mentions
First commit
2025-04-08
History
46 history points
License
MIT
Issues
17 open
Forks
193
Commits
484 commits
Star growth, last 7 days
+16 +0.7%
Commit velocity, last 7 days
+17 +3.6%
microsoft/responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Updated
2026-04-29
Lists
1 list mention
First commit
2020-07-06
History
5 history points
License
MIT
Issues
96 open
Forks
484
Commits
1,985 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%