Factual package intelligence from PyPI

timeseriesfeatures 0.1.2 package intelligence

A library for processing timeseries features over a dataframe.

pip install timeseriesfeatures

Current version
0.1.2
Python requirement
Not declared
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
12.7 KiB
Release history
20 releases with files
Median release cadence
1 days

timeseriesfeatures dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.2.3
  2. pyarrow >=19.0.1
  3. statsmodels >=0.14.4
  4. numpy <2,>=1.26.4
  5. sktime >=0.37.0
  6. pytorch-forecasting >=1.3.0
  7. mlflow >=2.22.0
  8. litmodels >=0.1.8
  9. dill >=0.4.0
  10. cloudpickle >=3.1.1
  11. torch >=2.7.0
  12. pmdarima >=2.0.4

Compatibility and release files

timeseriesfeatures publishes 0 wheels and 1 source archive for version 0.1.2. Wheel platform tags: No wheel platform tags.

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 20 releases with files. The first dated release is ; 20 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .