Factual package intelligence from PyPI

midas-peakfit 0.4.4 package intelligence

Differentiable PyTorch peak-fitting for FF-HEDM Zarr archives (drop-in replacement for PeaksFittingOMPZarrRefactor)

pip install midas-peakfit

Current version
0.4.4
Python requirement
>=3.9
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
198.0 KiB
Release history
8 releases with files
Median release cadence
2 days

midas-peakfit dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.22
  2. scipy >=1.9
  3. zarr <3.0,>=2.18
  4. numcodecs >=0.12
  5. torch >=2.1
  6. midas-distortion >=0.1.0

Compatibility and release files

midas-peakfit publishes 1 wheel and 1 source archive for version 0.4.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for midas-peakfit 0.4.4

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 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .