Metadata-Version: 2.1
Name: Thermobar
Version: 1.0.47
Summary: Thermobar
Home-page: https://github.com/PennyWieser/Thermobar
Author: Penny, Maurizio, Jordan, Eric, Sinan
Author-email: penny.wieser@gmail.com
License: UNKNOWN
Description: [![PyPI](https://badgen.net/pypi/v/Thermobar)](https://pypi.org/project/Thermobar/)
        [![Build Status](https://github.com/PennyWieser/Thermobar/actions/workflows/main.yml/badge.svg?branch=main)](https://github.com/PennyWieser/Thermobar/actions/workflows/main.yml)
        [![codecov](https://codecov.io/gh/PennyWieser/Thermobar/branch/main/graph/badge.svg)](https://codecov.io/gh/PennyWieser/Thermobar/branch/main)
        
        Thermobar is a python tool for thermobarometry, chemometry and mineral equilibrium.
        Thermobar allows users to easily choose between more than 100 popular parameterizations involving liquid, olivine-liquid, olivine-spinel, 
        pyroxene only, pyroxene-liquid, two pyroxene, feldspar-liquid, two feldspar, amphibole and amphibole-liquid, garnet and biotite equilibrium. 
        
        It can be downloaded via pip, on Github (you are here!), and extensive documentation and 
        example videos and Jupyter Notebooks are available at https://thermobar.readthedocs.io/en/latest/index.html
        
        If you want to use Machine learning models, you will need to pip install a separate package (the pkl and onnx files are too big for one release). Please see the instructions here:
        https://thermobar.readthedocs.io/en/latest/Examples/Cpx_Cpx_Liq_Thermobarometry/MachineLearning_Cpx_Liq_Thermobarometry.html
        
        
        Find more information in Volcanica - and please make sure you cite this work!!!
        https://www.jvolcanica.org/ojs/index.php/volcanica/article/view/161
        ________________________________
        Want your model in Thermobar?
        ________________________________
        Getting your model into Thermobar will hopefully help to increase usage. 
        I am happy to help you with this. You will need to supply me with your scripts or excel spreadsheet showing how the model works, 
        your calibration dataset, and some example calculations for benchmarking. 
        
        For Machine Learning models, please see the read the docs page. 
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
