thu-ml/SageAttention
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
4.0k
Stars
554
Forks
57.9
Radar Score
Rising
Momentum
Scoring Breakdown
Impact83.8
Velocity41.5
Health39.3
Growth Metrics
7-Day Stars
+8
30-Day Stars
+116
Acceleration
0.14x
Language
Cuda
Why it ranks
Steady growth — consistently collecting stars and contributors.
Top 99% globallyLast push 260d ago+8 stars / 7d+116 stars / 30d
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
84%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
57.9
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Maintenance cadence: Last push 298 days ago.
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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