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Project Description


LIONtoolkit is a web application that allows data science enthusiasts to create and run experiments involving machine learning and optimization techniques via a simple browser-based drag-and-drop interface.

It is an idea and is currently maintained by the people at LIONlab, University of Trento - Italy, and it is distributed under the terms and conditions of the Mozilla Public License, v. 2.0.

Run inside a Docker container

Install Docker for your platform following the instructions here. No need to install other dependencies.

Once Docker is installed and running, by using any kind of terminal launch a new container with the latest version of our image with:

$ docker run -d -p 8080:5000 liontoolkit/liontoolkit

Now, as long as the container is up and running, you can use LIONtoolkit by pointing your browser to:

http://localhost:8080 or

For other methods (pip,setuptools) and more detailed installation instructions, see docs/install.rst.


We welcome all contributions. Do you like LIONtoolkit and want to make it better? You can fix some bugs or add your own plugin/module!

And before opening a Pull Request, please have a look at docs/extending.rst and CONTRIBUTING.rst to make sure your code complies with our guidelines.

Thank you!

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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