Skip to main content

Thermobar

Project description

PyPI Build Status codecov

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Thermobar-1.0.52.tar.gz (6.2 MB view details)

Uploaded Source

Built Distribution

Thermobar-1.0.52-py3-none-any.whl (6.2 MB view details)

Uploaded Python 3

File details

Details for the file Thermobar-1.0.52.tar.gz.

File metadata

  • Download URL: Thermobar-1.0.52.tar.gz
  • Upload date:
  • Size: 6.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for Thermobar-1.0.52.tar.gz
Algorithm Hash digest
SHA256 11088ab5a77f9d3b93de1029e36154574fe6929b67f2938fe4b2933b98102030
MD5 10a7734b144a2746529bb2d15debf317
BLAKE2b-256 5e9eee4163a63adc593da712e4becb8ca3769838ecc83a5b8f56d5f07f3c955e

See more details on using hashes here.

File details

Details for the file Thermobar-1.0.52-py3-none-any.whl.

File metadata

  • Download URL: Thermobar-1.0.52-py3-none-any.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for Thermobar-1.0.52-py3-none-any.whl
Algorithm Hash digest
SHA256 8917386ab234e29b3efacec64d67bae518ae0a7ae24d75951061ddc0764f4f8c
MD5 1c66ff7ada5ec3898ec01ae3497f6ed9
BLAKE2b-256 b45154650df1769d637fd4a3b8dd5c7c6b066ebecbf981427d8ae284ce1dab23

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page