Factual package intelligence from PyPI

matsci-opt-benchmarks 0.2.3 package intelligence

A collection of benchmarking problems and datasets for testing the performance of advanced optimization algorithms in the field of materials science and chemistry.

pip install matsci-opt-benchmarks

Current version
0.2.3
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
41.4 MiB
Release history
4 releases with files
Median release cadence
2 days

matsci-opt-benchmarks dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. scipy
  4. cloudpickle
  5. requests
  6. crabnet ==2.0.8
  7. matbench
  8. torch <2.0
  9. zenodo-client
  10. ray
  11. kaleido
  12. xtal2png
  13. ax-platform
  14. importlib-metadata when python_version < "3.8"

Compatibility and release files

matsci-opt-benchmarks publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .