PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days
—Not published by PyPI
Not published
30 days
—Not published by PyPI
Not published
90 days
—Not published by PyPI
Not published
1 year
—Not published by PyPI
Not published
Adoption history
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.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.