.. Add the README from the root directory (must be transformed in rst with m2r) .. include:: ../README.rst .. toctree:: :hidden: getting_started user_guide/index tutorials/index contributing/index .. image:: https://github.com/fredmontet/ontime/actions/workflows/ci.yml/badge.svg :target: https://github.com/fredmontet/ontime/actions/workflows/ci.yml :alt: Continuous Integration .. image:: https://badge.fury.io/py/ontime.svg :target: https://badge.fury.io/py/ontime :alt: PyPI version | **onTime** Documentation ======================== | onTime is an open source library for sensor data analysis and more. It aims at providing | a comprehensive API for time series analysis, prediction, as well as anomaly detections. | .. note:: This documentation is a **work in progress**. If you have any questions or suggestions, please feel free to contact us or open an issue on the GitHub repository. .. raw:: html
Start to use onTime to handle your time series. This guide provides you with an installation guide and tutorials to explain the concepts the library.
Go to the Getting Started guideThe pages in this section provide detailed tutorials so that you can make great use of onTime's workflows. Also, we present some real world scenarios.
Go to the User GuideComing soon—This reference is the classical developer's documentation. It explains the classes, methods and variables that can be used within onTime.
Finally, if you are a developer and you want to involve yourself in onTime's quest, the following pages contains all the information you need.
Go to the Contribution guide