Factual package intelligence from PyPI

pyrobolearn 0.0.0 package intelligence

A Python framework for roboticists and machine learning practitioners

pip install pyrobolearn

Current version
0.0.0
Python requirement
Not declared
License
(c) Brian Delhaisse
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.6 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

pyrobolearn dependencies

PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. GPy >=1.9.6
  2. GPyOpt >=1.2.5
  3. autograd >=1.2
  4. cma >=2.6.0
  5. control >=0.8.1
  6. cvxopt >=1.2.3
  7. cvxpy >=1.0.15
  8. gTTS >=2.0.3
  9. gym >=0.10.9
  10. inputs >=0.5
  11. matplotlib >=2.0.2
  12. neat-python >=0.92
  13. nlopt >=2.4.2.post2
  14. numba >=0.42.0
  15. numpy-quaternion
  16. opencv-python >=4.0.0.21
  17. pathos >=0.2.3
  18. pybullet >=2.4.1
  19. qpsolvers >=1.0.4
  20. quadprog >=0.1.6
  21. scipy >=0.19.1
  22. sklearn >=0.0
  23. slycot >=0.3.3
  24. sympy >=1.3
  25. torch >=1.0.0

The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

pyrobolearn publishes 1 wheel and 1 source archive for version 0.0.0. Wheel platform tags: any.

Declared Python classifiers: 2.7, 3.5.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .