Factual package intelligence from PyPI

baxter-ts 0.2.0 package intelligence

AutoML time series library with BAX behavioural explanation, anomaly detection and visualisation

pip install baxter-ts

Current version
0.2.0
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
124.1 KiB
Release history
4 releases with files
Median release cadence
0 days

baxter-ts dependencies

PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.0
  2. numpy >=1.25
  3. scikit-learn >=1.3
  4. xgboost >=2.0
  5. catboost >=1.2
  6. shap >=0.43
  7. plotly >=5.18
  8. statsmodels >=0.14
  9. scipy >=1.11
  10. jinja2 >=3.1
  11. kaleido >=0.2
  12. joblib >=1.3

Compatibility and release files

baxter-ts publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for baxter-ts 0.2.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 .