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 +0/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 (21 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 992

forks 228

Growth Velocity

rapidsai/raft has +0 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	openvort	autogen-ui
Stars	992	992	992	991
Forks	228	286	123	138
Weekly Growth	+0	+0	+2	+0
Language	Cuda	Python	Python	TypeScript
Sources	1	1	1	1
License	Apache-2.0	Apache-2.0	AGPL-3.0	MIT

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 30

No measurable growth in the current period (first-day cold start expected).

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.