Factual package intelligence from PyPI

mpes 1.1.4 package intelligence

Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)

pip install mpes

Current version
1.1.4
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
6.5 MiB
Release history
4 releases with files
Median release cadence
276 days

mpes dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. scipy <1.9.0
  4. matplotlib
  5. bokeh <3.0.0
  6. scikit-image
  7. sphinx
  8. nose
  9. coverage
  10. igor
  11. lmfit
  12. h5py >=2.9.0
  13. dask
  14. fastparquet
  15. tqdm
  16. natsort
  17. funcy
  18. imageio
  19. numba
  20. opencv-python
  21. xarray
  22. astropy
  23. photutils
  24. symmetrize
  25. silx

The compact report shows 25 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mpes publishes 1 wheel and 1 source archive for version 1.1.4. 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 ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .