sktime

license

BSD-3-Clause(OSI)

source

public(github.com/sktime/sktime)

core features withheld

no — support and custom work sold by sktime Enterprise Solutions GmbH

BSD-3-Clause, and the library builds whole from the public repository under an elected community council. The enterprise offering is custom model development, integration and SLA-backed support from a separate company, not a withheld edition of the library.

• https://cdn.jsdelivr.net/gh/sktime/sktime@main/LICENSE recorded 2026-09-26

  LICENSE: "BSD 3-Clause License", "Copyright (c) 2019 - present, The sktime developers."

• https://ungh.cc/repos/sktime/sktime/files/main recorded 2026-09-26

  Repository tree of 2,219 files with no ee, enterprise, commercial or pro directory.

• https://www.sktime.net/about/ recorded 2026-09-26

  About page, on the enterprise team: "Professional support when you take sktime to production ... A separate company that keeps the project open".

• https://www.sktime.net/en/stable/get_involved/governance.html recorded 2026-09-26

  Governance: "sktime is a consensus-based community project." and "The community council is elected by contributors to sktime in regular elections."

• https://www.sktime.net/enterprise/ recorded 2026-09-26

  Enterprise page: "Custom solutions, seamless integration, and dedicated support from the core team behind sktime", offering custom model development, infrastructure integration and SLA-backed support.

Measured on monthly PyPI downloads of the sktime package.

• https://pypistats.org/api/packages/sktime/recent recorded 2026-09-26

  last_month 1,240,731 downloads of sktime

sktime does for time series what scikit-learn does for tables: many learners behind one interface, with the composition and tuning tools to compare them. Picking and combining models is still the user's job.

• https://cdn.jsdelivr.net/gh/sktime/sktime@main/README.md recorded 2026-09-26

  README: "It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks." and "tools for composite model building, such as pipelining, ensembling, tuning, and reduction".

• https://www.sktime.net/en/stable/ recorded 2026-09-26

  Docs landing: "Browse all 500+ models"; "A unified Python API for the complete time series machine learning lifecycle".