Package · PyPI
PyPI · v3.17.2 · Apache Software License
MLflow is an open source platform for the complete machine learning lifecycle
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 mlflow-skinnyPyPI 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
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
!=4.15.0,<5,>=3.6.2<8,>=5.0.0<9,>=7.0<4<1,>=0.20.0<1<4,>=3.1.9!=4.7.0,<10,>=3.7.0<3,>=1.9.0<3,>=1.9.0<3,>=1.9.0<27<8,>=3.12.0<3,>=2.0.0<2,>=0.19.0<7,>=5.1<3,>=2.17.3<1,>=0.4.0<2<5,>=4.0.0<1No published news event mentions this package or its repository yet.