Python Units Library Comparison¶
Choosing the right units library depends on your use case. This section compares dimtensor with other popular Python unit libraries.
Quick Comparison¶
| Feature | dimtensor | Pint | Astropy | unyt |
|---|---|---|---|---|
| NumPy support | Full | Full | Full | Full |
| PyTorch support | Native | Limited | None | None |
| JAX support | Native | None | None | None |
| Autograd | Yes | No | No | No |
| GPU support | Yes | No | No | Yes |
| Uncertainty | Built-in | Extension | Separate | No |
| Physical constants | CODATA 2022 | Via scipy | Built-in | yt constants |
| I/O formats | 6+ | Limited | FITS | yt native |
When to Choose dimtensor¶
- Machine learning - Native PyTorch/JAX with autograd
- GPU computing - CUDA/MPS support with units
- Scientific simulations - Uncertainty propagation built-in
- Multi-framework - Same API across NumPy, PyTorch, JAX
Detailed Comparisons¶
- dimtensor vs Pint - The most popular Python units library
- dimtensor vs Astropy - Astronomy-focused units
- dimtensor vs unyt - yt project's units library
- Feature Matrix - Comprehensive feature comparison