RA
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
42.0k 7.4k +20/wk
GitHub PyPI 2-source
data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search large-language-models llm llm-inference llm-serving machine-learning optimization
Trend
21
Star & Fork Trend (44 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ray-project/ray has +20 stars this period , with cross-source activity across 2 platforms (github, pypi). 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ray | DeepSpeed | ailearning | gradio |
|---|---|---|---|---|
| Stars | 42.0k | 42.0k | 42.2k | 42.3k |
| Forks | 7.4k | 4.8k | 11.6k | 3.4k |
| Weekly Growth | +20 | +8 | +10 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 2 | 2 | 2 | 2 |
| License | Apache-2.0 | Apache-2.0 | NOASSERTION | Apache-2.0 |
Capability Radar vs DeepSpeed
ray
DeepSpeed
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 88
Fork-to-star ratio: 17.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 43
+20 stars this period — 0.05% 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.