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Discover, monitor, score, and cluster brand-impersonation domains — a layered, pip-extras toolkit for the lookalike-domain lifecycle, from typo-squat generation to actor-campaign clustering.
pip install domainflow
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
domainflow publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .