Cesium

Open-Source Machine Learning for Time Series Analysis

About Cesium

Cesium is an end-to-end machine learning platform for time-series, from calculation of features to model-building to predictions. Cesium has two main components - a Python library, and a web application platform that allows interactive exploration of machine learning pipelines. Take control over the workflow in a Python terminal or Jupyter notebook with the Cesium library, or upload your time-series files, select your machine learning model, and watch Cesium do feature extraction and evaluation right in your browser with the web application.

Download Library

Try out the Cesium web app!

  1. Download the docker-compose file for Cesium: 
    curl -Lo docker-compose.yml https://raw.githubusercontent.com/cesium-ml/cesium_web/master/docker-compose.yaml
  2. Ensure you have Docker Compose up and running, then: 
    docker-compose up
  3. Wait a few seconds and navigate to 
    http://localhost:9000
  4. Create a project and GO! If you want some test data, an example header file can be downloaded with 
    curl -Lo example-headers.dat http://bit.ly/29FtRXy
    , and time series data with 
    curl -Lo example-series.tar.gz http://bit.ly/29HKmVZ

Learn More

Explore the Cesium docs here.

Documentation

How to Contribute

We gratefully accept contributions of new time-series features (domain-specific or general) as well as new library / web app functionality / features. Please see the following guidelines for contributing.

Contribute