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vaaaaanquish/Awesome-Rust-MachineLearning
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
2.2k 123 +0/wk
GitHub
awasome deep-learning image-processing machine-learning machine-learning-library natural-language-processing rust rust-library
Trend
3
Star & Fork Trend (25 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
vaaaaanquish/Awesome-Rust-MachineLearning has +0 stars this period . 7-day velocity: 0.0%.
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| Metric | Awesome-Rust-MachineLearning | Best_AI_paper_2020 | inference | SGX-Full-OrderBook-Tick-Data-Trading-Strategy |
|---|---|---|---|---|
| Stars | 2.2k | 2.2k | 2.3k | 2.3k |
| Forks | 123 | 239 | 252 | 695 |
| Weekly Growth | +0 | +0 | +1 | -1 |
| Language | JavaScript | N/A | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | N/A |
Capability Radar vs Best_AI_paper_2020
Awesome-Rust-MachineLearning
Best_AI_paper_2020
Maintenance Activity 0
Last code push 926 days ago.
Community Engagement 27
Fork-to-star ratio: 5.5%. Lower fork ratio may indicate passive usage.
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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.