Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Ranked by how many indexed repositories a person contributes to, and only then by commit count — breadth across distinct projects says more than a single large codemod.
144,415 people
| # | Person | Company | Location | Repos | Commits | Stars reached | Followers |
|---|---|---|---|---|---|---|---|
| 7001 | — | Moose Jaw, Slovakia | 3 | 9 | 9.9k | 71 | |
| 7002 | — | China | 3 | 9 | 24k |
| 68 |
| 7003 | — | United Kingdom | 3 | 9 | 3.5k | 63 |
| 7004 | @QoderAI | Hangzhou, China | 3 | 9 | 86k | 62 |
| 7005 | Amazon Web Services | United States | 3 | 9 | 30k | 61 |
| 7006 | — | New Jersey | 3 | 9 | 15k | 58 |
| 7007 | — | Germany | 3 | 9 | 40k | 56 |
| 7008 | — | — | 3 | 9 | 26k | 56 |
| 7009 | — | — | 3 | 9 | 6.0k | 55 |
| 7010 | — | United States | 3 | 9 | 16k | 53 |
| 7011 | — | Beijing, China | 3 | 9 | 2.5k | 52 |
| 7012 | — | Ukraine | 3 | 9 | 6.6k | 50 |
| 7013 | @tesslio | United Kingdom | 3 | 9 | 29k | 45 |
| 7014 | — | China | 3 | 9 | 8.1k | 36 |
| 7015 | — | Wuhan China | 3 | 9 | 53k | 32 |
| 7016 | — | Nashville | 3 | 9 | 4.3k | 30 |
| 7017 | Alibaba DAMO Academy | Singapore | 3 | 9 | 12k | 25 |
| 7018 | — | Frankfurt am Main, Germany | 3 | 9 | 2.7k | 24 |
| 7019 | — | adrift | 3 | 9 | 17k | 23 |
| 7020 | — | — | 3 | 9 | 19k | 21 |
| 7021 | — | — | 3 | 9 | 12k | 19 |
| 7022 | — | — | 3 | 9 | 52k | 18 |
| 7023 | — | — | 3 | 9 | 31k | 17 |
| 7024 | — | — | 3 | 9 | 9.7k | 14 |
| 7025 | — | — | 3 | 9 | 20k | 11 |
| 7026 | — | Canada | 3 | 9 | 13k | 11 |
| 7027 | — | — | 3 | 9 | 12k | 10 |
| 7028 | — | Israel | 3 | 9 | 43k | 9 |
| 7029 | — | — | 3 | 9 | 11k | 9 |
| 7030 | Wells Fargo | India | 3 | 9 | 16k | 6 |
| 7031 | — | — | 3 | 9 | 16k | 5 |
| 7032 | — | — | 3 | 9 | 18k | 5 |
| 7033 | — | — | 3 | 9 | 23k | 3 |
| 7034 | — | — | 3 | 9 | 40k | 3 |
| 7035 | — | — | 3 | 9 | 3.1k | 0 |
| 7036 | EECS MEng @ UC Berkeley | — | 3 | 9 | 19k | 0 |
| 7037 | — | — | 3 | 9 | 5.4k | 0 |
| 7038 | — | — | 3 | 9 | 40k | 0 |
| 7039 | — | — | 3 | 9 | 20k | 0 |
| 7040 | — | — | 3 | 9 | 11k | 0 |
| 7041 | — | — | 3 | 9 | 6.0k | 0 |
| 7042 | — | — | 3 | 9 | 5.3k | 0 |
| 7043 | @google Google | World | 3 | 8 | 18k | 2.0k |
| 7044 | — | — | 3 | 8 | 3.7k | 1.6k |
| 7045 | — | United States | 3 | 8 | 8.5k | 1.1k |
| 7046 | Switzerland | 3 | 8 | 15k | 674 |
| 7047 | @watershed-climate | United States | 3 | 8 | 16k | 606 |
| 7048 | @meta | United States | 3 | 8 | 9.9k | 255 |
| 7049 | — | United Kingdom | 3 | 8 | 40k | 251 |
| 7050 | Morgan Stanley | Clear Water Bay, Hong Kong | 3 | 8 | 30k | 225 |