← Back to Leaderboard
Project comparison
Qlib vs AutoGPT
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
42.6K
Stars
0
Weekly
45/100
Health
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
184.2K
Stars
+174
Weekly
95/100
Health
Quick Take
Adoption
AutoGPT has the larger GitHub footprint with 184.2K stars.
Momentum
AutoGPT is currently growing faster at +174 stars this week.
Maintenance
AutoGPT has the stronger health score at 95/100.
Side-by-side Metrics
| Signal | Qlib | AutoGPT |
|---|---|---|
| GitHub stars | 42.6K | 184.2K |
| Weekly growth | 0 | +174 |
| Health score | 45 | 95 |
| Contributors | 151 | 816 |
| Commits per week | 0.5 | 49.8 |
| Open issues | 392 | 391 |
| Language | Python | Python |
| License | MIT | NOASSERTION |
| Last commit | 20d ago | 15h ago |
| Last release | v0.9.7 | autogpt-platform-beta-v0.6.59 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.