orange3-volcanoes 1.0.36

Orange-Volcanoes is an extension (add-on) of the open-source Orange data mining platform, specifically designed to support data-driven investigations in petrology and volcanology.

Orange Volcanoes

Orange-Volcanoes is an extension (add-on) of the open-source Orange Data Mining platform, specifically designed to support data-driven investigations in petrology and volcanology. Through the integration of tools for geochemical analysis into the Orange visual programming environment, Orange-Volcanoes allows researchers to explore, visualize, and interpret complex datasets without a coding background.

This add-on enhances the basic functionality of Orange by introducing specialized widgets designed for the specific needs of petrologists and volcanologists. These widgets facilitate geochemical data workflows, enabling tasks such as:

1. Importing and preparing petrological datasets
2. Conducting compositional data analysis (CoDA)
3. Cleaning and filtering geochemical analyses of glass and volcanic minerals
4. Testing mineral-liquid equilibrium
5. Performing thermobarometric calculations, both classical and machine learning-based

Installing Orange-Volcanoes

To install Orange-Volcanoes, please follow the step by step install instructions reported in the documentation.

Running Orange-Volcanoes

To run Orange-Volcanoes, please follow the step by step instructions reported in the documentation. For example, if during the install process you created the orange3 envirnoment to host Orange and Orange-Volcanoes:

conda activate orange3
orange-canvas

Add --help for a list of program options.

Starting up for the first time may take a while.

By running Orange, you will find all the widgets of the Orange-Volcanoes add-on on the left side the main Orange interface where all the other widgets are, grouped under the name of "Volcanoes".

Developing

Are you interested in developing, expanding or suggest changes in Orange Volcanoes? To contribute, you can either submit a request or report an issue directly on the GitHub, by usining the dedicated "pull request" and "issues" spaces.