The open-source project
A unified Python framework for time series machine learning.
- Forecasting, classification, anomaly detection, and transformation
- 500+ models behind one consistent API
- Free and open under the permissive BSD-3-Clause license
About sktime
sktime combines a broad community project with commercial implementation support, so teams can adopt time series machine learning with confidence.
A unified Python framework for time series machine learning.
Built in the open, by people from research and industry.
Professional support when you take sktime to production.
Our mission
A comprehensive, easy-to-use, easy-to-extend Python framework for ML and AI with time series.
Open source, permissively licensed, and free — openly governed by its community, with a charitable core.
A friendly, inclusive community, committed to fairness and equal opportunity.
A neutral platform for the ecosystem that mentors and upskills people at every career stage.
Governance
sktime is a consensus-based community project. Anyone with an interest can join, contribute, and take part in how it is run.
Clearly defined roles
How decisions are made
Propose in the open
Decisions happen on public issues and pull requests.
Consensus or vote
We use lazy consensus with a veto right; otherwise we vote.
Council resolves
The Community Council settles anything left open.
Larger changes need a written Enhancement Proposal (STEP). This covers the open-source project; the wider GC.OS ecosystem is governed separately.
The people
Three groups keep sktime moving: the Community Council, the core developers, and the enterprise team.
Many of us wear more than one hat — tags below show where each person also contributes.
Elected members who steer the open-source project.
Maintainers with write access who drive reviews and releases.
sktime enterprise solutions GmbH — a separate company for implementation, support, and training.
Talk to us about adoption, enterprise implementation, or the best path from prototype to production.