RA
rapidsai/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
992 228 +2/wk
GitHub
anns building-blocks clustering cuda distance gpu information-retrieval linear-algebra llm machine-learning nearest-neighbors neighborhood-methods
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
rapidsai/raft has +2 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | raft | pyGAM | autogen-ui | chronon |
|---|---|---|---|---|
| Stars | 992 | 992 | 991 | 991 |
| Forks | 228 | 286 | 138 | 90 |
| Weekly Growth | +2 | +1 | -2 | +0 |
| Language | Cuda | Python | TypeScript | Scala |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs pyGAM
raft
pyGAM
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 100
Fork-to-star ratio: 23.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 52
+2 stars this period — 0.20% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.