RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
3.6k
Stars
333
Forks
62.5
Radar Score
Rising
Momentum
Scoring Breakdown
Impact79.5
Velocity44.1
Health60.9
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
1.00x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Popular Alternatives & Competitors
Top projects in the same category (RAG) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
89%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
62.5
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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