This is a companion repository for sktime for the specific purpose of designing and implementing a time series data container.
sktime is under active development and we are looking for contributors. You can find our development road map below.
The package is available via PyPI using:
pip install sktime
But note that the package is actively being developed and currently not feature stable.
To install the development version, please see our advanced installation instructions.
- Tutorials can be found in the examples folder or can be launched directly on Binder_.
- The full API documentation can be found here.
We are actively looking for contributors. Please contact @fkiraly or @jasonlines for volunteering or information on paid opportunities, or simply chat with us or raise an issue.
Please also take a look at our Code of Conduct and contributing guidelines.