PYFAB - Python interface to the Fabber Bayesian model fitting tool
Fabber is a Bayesian model-fitting framework designed to fit nonlinear parameterised models to timeseries data, particularly 4D fMRI data such as ASL, CEST, DCE, DSC, etc.
PYFAB offers a Python interface to the tool which can work with the command line Fabber tool, or the shared library version, depending on which is installed.
Fabber must be installed before use - See https://fabber_core.readthedocs.io/. Fabber and a selection of models will be available in the upcoming FSL 6.0.1 release
Full documentation at https://pyfab.readthedocs.io/
1 maintainer
Metadata
1 maintainer
Release files for pyfab 0.3.4.post12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyfab-0.3.4.post12.tar.gz | 22.6 kB | Without provenance | Details for pyfab-0.3.4.post12.tar.gz |
Release files / pyfab-0.3.4.post12.tar.gz
| Download URL | pyfab-0.3.4.post12.tar.gz |
|---|---|
| Size | 22.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
44b873e025432508a28880fcec86af08342108335bb09f1e88586b329c3b5139
|
|
BLAKE2b-256 checksum How to use checksums |
d6762a0cb8e380d8220b489c66a9f43ec282daca7ecdefb9a0cb93afe9e0e4ee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3
|
Security for pyfab 0.3.4.post12
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
