🏆 AI Tools Leaderboard
Community-ranked AI & ML tools — scored by engagement, community feedback, and verification status.
SuperML Score (Fame 30% + Activity 25% + Adoption 20% + Community 15% + Ecosystem 10%) when available; otherwise likes × 10 + comments × 5 + views ÷ 10 + GitHub signals + verification bonus
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The standard library for working with pretrained ML models
- #4
- #5
- #6
- #7
- #8
- #9
Data framework for building RAG and agentic AI applications
- #10
- #11
- #12
- #13
- #14
- #15
- #16
The industry standard for programmatic workflow orchestration
- #17
- #18
Production-grade AI agent framework built by the Pydantic team
- #19
- #20
- #21
Microsoft's SDK for integrating LLMs into apps with plugins and planners
- #22
- #23
Graph-based RAG that extracts knowledge graphs for better retrieval
- #24
- #25
📊 SuperML Score — 5-dimension framework
A composite 0–100 score updated daily. Missing signals are excluded and the remaining weights are renormalised — so products without GitHub or a PyPI package are not penalised.
🌟 Fame 30%
Awareness & social proof. GitHub stars, forks, npm/PyPI/Docker downloads.
⚡ Activity 25%
Project velocity. Commits, releases, contributors, and issue resolution rate (90-day window).
📦 Adoption 20%
Actual usage. npm, PyPI, and Docker Hub download counts.
🗣️ Community 15%
Ecosystem discussion. Hacker News & Stack Overflow mentions (90d) + SuperML engagement.
🔗 Ecosystem 10%
Integration breadth, LLM provider support, open-source license, and deployment options.
All signals use log₁₀ normalisation so emerging tools and established frameworks rank meaningfully together.
Verification bonus applied on top: Featured +50 · Arch reviewed +30 · Verified +15.
Until the daily cron populates superml_score, ranking uses the legacy engagement formula.