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Project comparison
Qlib vs awesome-llm-apps
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.
Best matched with other agent tools.
46.7K
Stars
+4.1K
Weekly
65/100
Health
awesome-llm-apps
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Best matched with other agent tools.
140.7K
Stars
+16.4K
Weekly
76/100
Health
Quick Take
Adoption
awesome-llm-apps has the larger GitHub footprint with 140.7K stars.
Momentum
awesome-llm-apps is currently growing faster at +16.4K stars this week.
Maintenance
awesome-llm-apps has the stronger automated maintenance signal at 76/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Qlib | awesome-llm-apps |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 46.7K | 140.7K |
| Weekly growth | +4.1K | +16.4K |
| Health score | Healthy65/100 | Healthy76/100 |
| Contributors | 152 | 97 |
| Commits per week | 0.1 | 11.4 |
| Open issues | 467 | 9 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last commit | 2026-07-23 08:15 UTC | 2026-09-30 20:31 UTC |
| Last release | v0.9.7 | N/A |
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