Decision Workspace
rustorch vs burn vs burn-tensor
Side-by-side comparison of Rust crates
44
rustorch
experimentalv0.6.29
Production-ready PyTorch-compatible deep learning library in Rust with special mathematical functions (gamma, Bessel, error functions), statistical distributions, Fourier transforms (FFT/RFFT), matrix decomposition (SVD/QR/LU/eigenvalue), automatic differentiation, neural networks, computer vision transforms, complete GPU acceleration (CUDA/Metal/OpenCL), SIMD optimizations, parallel processing, WebAssembly browser support, comprehensive distributed learning support, and performance validation
70
burn
growingv0.20.1
Flexible and Comprehensive Deep Learning Framework in Rust
69
burn-tensor
growingv0.20.1
Tensor library with user-friendly APIs and automatic differentiation support
Core Metrics
| rustorch | burn | burn-tensor | |
|---|---|---|---|
| Health Score | 44 | 70 | 69 |
| Total Downloads | 25.4K | 700.2K | 708.7K |
| 30d Downloads | 67 | 76.6K | 77.4K |
| Dependents | 0 | 1.0K | 496 |
| Releases | 85 | 39 | 39 |
| Last Updated | 175d ago | 25d ago | 25d ago |
| Age | 7m | 3y 8m | 3y 8m |
Health Breakdown
rustorch
Maintenance
14
Quality
6
Community
6
Popularity
5
Documentation
13
burn
Maintenance
18
Quality
16
Community
14
Popularity
7
Documentation
15
burn-tensor
Maintenance
18
Quality
18
Community
13
Popularity
7
Documentation
13
Technical Details
| rustorch | burn | burn-tensor | |
|---|---|---|---|
| Version | 0.6.29 | 0.20.1 | 0.20.1 |
| Stable (≥1.0) | ✗ No | ✗ No | ✗ No |
| License | MIT OR Apache-2.0 | MIT OR Apache-2.0 | MIT OR Apache-2.0 |
| Dependencies | 72 | 18 | 7 |
| Crate Size | 2.8MB | 65KB | 99KB |
| Features | 23 | 44 | 10 |
| Yanked % | 25.9% | 0.0% | 0.0% |
| Edition | 2021 | 2024 | 2024 |
| MSRV | — | 1.89 | — |
| Owners | 1 | 1 | 1 |
Links
Quick Verdict
- •burn leads with a health score of 70/100, but none of the options score above 80.
- •burn-tensor has the most downloads (708.7K), suggesting wider adoption.
- •burn is depended on by 1.0K crates — strongest ecosystem trust.