Factual package intelligence from PyPI

flasc 2.5 package intelligence

FLASC provides a rich suite of analysis tools for SCADA data filtering & analysis, wind farm model validation, field experiment design, and field experiment monitoring.

pip install flasc

Current version
2.5
Python requirement
<3.15,>=3.10
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
294.4 KiB
Release history
15 releases with files
Median release cadence
42 days

flasc dependencies

PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. bokeh <4,>=2
  2. floris ~=4.3
  3. feather-format ~=0.0
  4. ipympl ~=0.9
  5. matplotlib ~=3.8
  6. numpy ~=2.0
  7. pandas ~=2.0
  8. SALib ~=1.0
  9. scipy ~=1.1
  10. streamlit ~=1.0
  11. tkcalendar ~=1.0
  12. seaborn ~=0.0
  13. polars ~=1.0
  14. ephem
  15. coloredlogs ~=15.0
  16. res-wind-up ~=0.1
  17. optuna ~=4.0
  18. scikit-learn ~=1.5
  19. zenodo-get ~=3.0.0
  20. xarray
  21. netcdf4 ~=1.6

The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

flasc publishes 1 wheel and 1 source archive for version 2.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 15 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 .