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Tools for representation learning in high throughput image collections
pip install deepprofiler
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=8.4.1==1.1.1<2.0,>=1.24>=2.0>=0.21<2.16,>=2.10<2.16,>=2.10 when sys_platform == "darwin" and platform_machine == "arm64"deepprofiler publishes 1 wheel and 1 source archive for version 0.5.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11.
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 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 .