Factual package intelligence from PyPI
Falsification-as-a-Service: hash-committed datasets, proper-baseline templates, decision-rule-bound benchmarks, and signed audit-trail bundles.
pip install falsiflyer
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
falsiflyer publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
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 .