IKATS (Innovative toolKit for the Analysis of Time Series) is the result of a R&D Data Science Project and is carried out by CS Systèmes d'Information in collaboration with the AMA LIG team.
IKATS provides a ready to use toolkit for the handling, exploratory analysis and visualization of large volumes of industrial Time Series (TS) data within a single big data framework.
The project website is hosted at : https://ikats.org
There is also a community and a commercial support.
We provide a demonstration product, the IKATS Sandbox. It's a limited demonstration setup of an IKATS full system. All IKATS components run in a single machine with a docker-compose deployment.
You could try it by following the instructions at the IKATS Sandbox repository.
We love pull requests from everyone. Be sure we will love you forever if, in addition to your PR, you also provide a clean documentation about your work.
You have several ways to contribute to this project:
- Open a new issue if you find a bug or want to submit an improvement
- Propose a Pull Request for an existing issue
- If your contribution is about an IKATS Operator, please follow the Operator contribution guide
- If your contribution is about an IKATS Viztool, please follow the Viztool contribution guide
For any matters, You could ask question to the dev Team
An explanation of the internal architecture is detailed here
You can have more details about releases here