Factual package intelligence from PyPI
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
pip install fluidgym
PyPI declares 35 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==2.9.*<3.10,>=3.9>=1.0.0The compact report shows 25 of 35 declarations. The interactive dependency graph loads the complete metadata.
fluidgym publishes 4 wheels and 0 source archives for version 0.1.2. Wheel platform tags: manylinux_2_27_x86_64.manylinux_2_28_x86_64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.