timeatlas 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.
Start to use TimeAtlas to handle your time series. This guide provides you with an installation guide and short tutorials to explain the main concepts of the library.
The pages in this section provide detailed tutorials so that you can make great use of TimeAtlas' workflows. Also, we present some real world scenarios.
This reference is the classical developer's documentation. It explains the classes, methods and variables that can be used within TimeAtlas.
Finally, if you are a developer and you want to involve yourself in TimeAtlas' quest, the following pages contains all the information you need.
Frédéric Montet - frederic.montet@hefr.ch
Lorenz Rychener - lorenz.rychener@hefr.ch