FL
RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
3.4k 298 +3/wk
GitHub
benchmark datasets large-language-models retrieval-augmented-generation
Trend
3
Star & Fork Trend (31 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
RUC-NLPIR/FlashRAG has +3 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | FlashRAG | autoclip | machine-learning | ML-Notebooks |
|---|---|---|---|---|
| Stars | 3.4k | 3.4k | 3.4k | 3.4k |
| Forks | 298 | 718 | 669 | 537 |
| Weekly Growth | +3 | +15 | +0 | +0 |
| Language | Python | Python | HTML | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | Apache-2.0 |
Capability Radar vs autoclip
FlashRAG
autoclip
Maintenance Activity 82
Last code push 39 days ago.
Community Engagement 43
Fork-to-star ratio: 8.7%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 45
+3 stars this period — 0.09% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.