microsoft/qlib vs wanshuiyin/Auto-claude-code-research-in-sleep
Based on the latest public GitHub metadata. No paid placement influences this comparison.
wanshuiyin/Auto-claude-code-research-in-sleep has the stronger current discovery signal, driven by the score components shown below.
microsoft/qlib is categorized as Agent Infrastructure; wanshuiyin/Auto-claude-code-research-in-sleep is categorized as Agent Infrastructure. Compare their product descriptions and source repositories before choosing.
| Signal | microsoft/qlib | wanshuiyin/Auto-claude-code-research-in-sleep |
|---|---|---|
| Radar Score | 86/100 | 90/100 |
| Adoption | 25/25 | 40/25 |
| Maintenance | 20/20 | 25/20 |
| Project quality | 20/20 | 0/20 |
| Agent relevance | 20/20 | 25/20 |
| Demand evidence | 0/10 | 0/10 |
| Observed momentum | 1/5 | 0/5 |
| GitHub stars | 48,333 | 15,760 |
| Category | Agent Infrastructure | Agent Infrastructure |
microsoft/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.
Full analysiswanshuiyin/Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Full analysisTransparent scoring
Adoption (25 points) uses stars and forks, maintenance (20) uses code activity, quality (20) checks license and metadata, relevance (20) checks agent focus, demand (10) uses open Issues, and momentum (5) uses star growth.