README.md

---
title: README
emoji: 🐢
colorFrom: green
colorTo: red
sdk: static
pinned: true
license: bsd-3-clause
short_description: A unified framework for machine learning with time series
---

## Welcome to sktime

<a href="https://www.sktime.net"><img src="https://raw.githubusercontent.com/sktime/sktime/refs/heads/main/docs/source/images/sktime-logo-text-horizontal.png"  width="375"/></a>

> A unified interface for machine learning with time series

[Check out the latest release notes here](https://www.sktime.net/en/latest/changelog.html).

sktime is a library for time series analysis in Python. 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. It comes with [time series algorithms](https://www.sktime.net/en/stable/estimator_overview.html) and [scikit-learn](https://scikit-learn.org/stable/) compatible tools to build, tune, and validate time series models.

|  | **[Documentation](https://www.sktime.net/en/stable/users.html)** · **[Tutorials](https://www.sktime.net/en/stable/examples.html)** · **[Release Notes](https://www.sktime.net/en/stable/changelog.html)** |
|---|---|
| **Open&#160;Source** | [![BSD 3-clause](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://github.com/sktime/sktime/blob/main/LICENSE) [![GC.OS Sponsored](https://img.shields.io/badge/GC.OS-Sponsored%20Project-orange.svg?style=flat&colorA=0eac92&colorB=2077b4)](https://gc-os-ai.github.io/) |
| **Tutorials** | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples) [![!youtube](https://img.shields.io/static/v1?logo=youtube&label=YouTube&message=tutorials&color=red)](https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0) |
| **Community** | [![!discord](https://img.shields.io/static/v1?logo=discord&label=discord&message=chat&color=lightgreen)](https://discord.com/invite/54ACzaFsn7) [![!slack](https://img.shields.io/static/v1?logo=linkedin&label=LinkedIn&message=news&color=lightblue)](https://www.linkedin.com/company/scikit-time/)  |
| **CI/CD** | [![github-actions](https://img.shields.io/github/actions/workflow/status/sktime/sktime/wheels.yml?logo=github)](https://github.com/sktime/sktime/actions/workflows/wheels.yml) [![readthedocs](https://img.shields.io/readthedocs/sktime?logo=readthedocs)](https://www.sktime.net/en/latest/?badge=latest) [![platform](https://img.shields.io/conda/pn/conda-forge/sktime)](https://github.com/sktime/sktime) |
| **Code** |  [![!pypi](https://img.shields.io/pypi/v/sktime?color=orange)](https://pypi.org/project/sktime/) [![!conda](https://img.shields.io/conda/vn/conda-forge/sktime)](https://anaconda.org/conda-forge/sktime) [![!python-versions](https://img.shields.io/pypi/pyversions/sktime)](https://www.python.org/) [![!black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)  |
| **Downloads** | ![PyPI - Downloads](https://img.shields.io/pypi/dw/sktime) ![PyPI - Downloads](https://img.shields.io/pypi/dm/sktime) [![Downloads](https://static.pepy.tech/personalized-badge/sktime?period=total&units=international_system&left_color=grey&right_color=blue&left_text=cumulative%20(pypi))](https://pepy.tech/project/sktime) |
| **Citation** | [![!zenodo](https://zenodo.org/badge/DOI/10.5281/zenodo.3749000.svg)](https://doi.org/10.5281/zenodo.3749000) |