Package · PyPI
PyPI · v1.4.1.post1 · MIT
AI pentesting that proves its findings: machine oracles re-run each exploit, and every verified bug ships a proof capsule you can replay yourself
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install ptaiPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=3.9>=0.20>=4.12>=1.7>=42.0>=2.6>=2.0>=1.3>=0.27>=0.11>=3.1>=3.4>=2.0>=1.0>=6.0>=2.31>=13.0>=2.5>=24.1>=8.2>=0.9No published news event mentions this package or its repository yet.