Factual package intelligence from PyPI

FitBenchmarking 1.5.0 package intelligence

FitBenchmarking: A tool for comparing fitting software

pip install fitbenchmarking

Current version
1.5.0
Python requirement
>=3.10.1
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
12.2 MiB
Release history
23 releases with files
Median release cadence
42 days

FitBenchmarking dependencies

PyPI declares 39 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. codecarbon >=3.2.6
  2. configparser
  3. dash
  4. docutils
  5. jinja2
  6. lxml
  7. matplotlib >=2.0
  8. numpy
  9. pandas >=1.3
  10. plotly >=6.6.0
  11. scipy <1.16.0,>=0.18
  12. tqdm >=4.60

The compact report shows 12 of 39 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

FitBenchmarking publishes 1 wheel and 1 source archive for version 1.5.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for FitBenchmarking 1.5.0

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 23 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

2 historical releases are fully yanked in PyPI metadata.