Mission

• an easy-to-use, easy-to-extend, comprehensive python framework for ML and AI with time series

• open source, permissive license, free to use

• openly and transparently governed by the user and developer community, with a charitable core

• a friendly, responsive, kind and inclusive community, with an active commitment to fairness and equal opportunity

• an academically, commercially neutral space, with an ecosystem integration ambition and neutral point of view

• an educational platform, providing mentoring and upskilling for all career stages, especially early career

Note

Our Roadmap describes how we try to achieve our mission.

Motivation: Why we develop sktime

There are a number of reasons why we develop sktime, here are the most important ones:

• Easier development of ML :term:`applications <application>` with time series, by making the ecosystem more interoperable and usable as a whole, and by providing an easy-to-use and readable way of specifying and applying algorithms.

• Easier ML algorithm development, from research to implementation and testing.

• Better ML algorithm research, by facilitating reproducibility and fair evaluation and comparison of different algorithms.

• Easier teaching and learning for ML with time series.

• Clearer time series methodology, especially more consistent definitions, terminology and notation across learning tasks.

• More collaboration and innovation, by bringing together developers, practitioners and domain experts in a single project, by exploring a new community-driven model for the data science innovation cycle from methodology research to software development and deployment, and by offering alternative career paths for junior researchers and practitioners.