Factual package intelligence from PyPI
Silx tool-kit: collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities
pip install silx
PyPI declares 46 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 46 declarations. The interactive dependency graph loads the complete metadata.
silx publishes 34 wheels and 1 source archive for version 3.0.1. Wheel platform tags: macosx_10_13_x86_64, macosx_10_15_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux_2_24_aarch64.manylinux_2_28_aarch64, manylinux_2_24_ppc64le.manylinux_2_28_ppc64le, manylinux_2_24_x86_64.manylinux_2_28_x86_64, win_amd64, win_arm64.
No version-specific Python classifiers are declared.
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 48 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
1 historical release is fully yanked in PyPI metadata.