Factual package intelligence from PyPI
Tool for automated MEG and EEG data quality control
pip install meg-qc
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<=0.3.0,>=0.3<=3.0.52,>=3.0<=1.12.0,>=1.6<=3.0.2,>=2.0<=6.7.0,>=5.18<=1.5.3,>=1.3<=7.2.2,>=5.9<=3.10.8,>=3.7<=6.11.0,>=6.5<=6.11.0,>=6.5<=0.14.0,>=0.13<=0.65.0,>=0.58meg-qc publishes 1 wheel and 1 source archive for version 1.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
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.
PyPI lists 100 releases with files. The first dated release is ; 44 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .