Factual package intelligence from PyPI

dmipy-fit 2.3.0 package intelligence

dmipy-fit: analytical diffusion-microstructure signal models + JAX GPU fitting

pip install dmipy-fit

Current version
2.3.0
Python requirement
>=3.10
License
AGPL-3.0-only OR LicenseRef-Commercial
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
1.3 MiB
Release history
4 releases with files
Median release cadence
5 days

dmipy-fit dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dmipy-sim <3,>=2.0
  2. numpy >=2.0
  3. scipy >=1.10
  4. dipy >=1.7
  5. packaging >=23.0

The compact report shows 12 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

dmipy-fit publishes 1 wheel and 1 source archive for version 2.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for dmipy-fit 2.3.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .