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normal-mode-sampling-step 2026.7.15 package intelligence

A SEAMM plug-in for Wigner/thermal normal-mode sampling of the Hessian to generate displaced structures (e.g. for MLFF training sets)

pip install normal-mode-sampling-step

Current version
2026.7.15
Python requirement
Not declared
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
337.0 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

normal-mode-sampling-step dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. seamm
  2. seamm-mdi
  3. seamm-util
  4. seamm-widgets
  5. numpy

Compatibility and release files

normal-mode-sampling-step publishes 1 wheel and 1 source archive for version 2026.7.15. Wheel platform tags: any.

Declared Python classifiers: 3.8, 3.9.

Security snapshot for normal-mode-sampling-step 2026.7.15

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.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .