Factual package intelligence from PyPI

optimask 1.4 package intelligence

OptiMask: extracting the largest (non-contiguous) submatrix without NaN

pip install optimask

Current version
1.4
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
29.4 KiB
Release history
31 releases with files
Median release cadence
8 days

optimask dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. numba

Compatibility and release files

optimask publishes 1 wheel and 1 source archive for version 1.4. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for optimask 1.4

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.

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 31 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 .