Factual package intelligence from PyPI

timeseriesflattener 2.5.2 package intelligence

A package for converting time series data from e.g. electronic health records into wide format data.

pip install timeseriesflattener

Current version
2.5.2
Python requirement
<3.13.0,>=3.9.0
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
17.4 MiB
Release history
102 releases with files
Median release cadence
1 days

timeseriesflattener dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scipy >=1.8.0
  2. scikit-learn >=1.1.2
  3. pydantic >=2.0.0
  4. pandas >=1.4.0
  5. catalogue >=2.0.0
  6. numpy >=1.23.3
  7. pyarrow >=8.0.0
  8. protobuf >=4.25.8
  9. frozendict >=2.3.4
  10. coloredlogs >14.0.0
  11. tqdm >4.1.0
  12. polars >=0.19.0
  13. iterpy ==1.6.0
  14. rich >=13.0.0
  15. ipykernel >=6.29.5

The compact report shows 25 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

timeseriesflattener publishes 1 wheel and 1 source archive for version 2.5.2. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 102 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .