SUFTware: Statistics Using Field Theory
SUFTware (Statistics Using Field Theory) provides a fast and lightweight Python implementation of Bayesian Field Theory algorithms for low-dimensional statistical inference. SUFTware currently supports the one-dimenstional density estimation algorithm DEFT. See the Documentation page for details on the SUFTware API.
Installation : pip install suftware
Requirements (updated 2025-01-06, v1.0.3)
- python >=3.10
- numpy >=1.26.0
- scipy >=1.5.0
- pandas >=1.2.0
- matplotlib >=3.3.0
Other resources
- Documentation: "http://suftware.readthedocs.org"
- Github: "https://github.com/jbkinney/suftware"
- PyPI: "https://pypi.python.org/pypi/suftware"
Metadata
Release files for suftware 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| suftware-1.0.4.tar.gz | 131.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| suftware-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 276.6 kB
Release files / suftware-1.0.4.tar.gz
| Download URL | suftware-1.0.4.tar.gz |
|---|---|
| Size | 131.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.8.5 CPython/3.13.1 Darwin/23.6.0
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Release files / suftware-1.0.4-py3-none-any.whl
| Download URL | suftware-1.0.4-py3-none-any.whl |
|---|---|
| Size | 144.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.5 CPython/3.13.1 Darwin/23.6.0
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