# Welcome to GlassPy
[](https://zenodo.org/badge/latestdoi/197668520)
GlassPy is a Python module for scientists working with glass materials.
## What is it?
GlassPy's current focus is on providing an easy way to load SciGlass data and use GlassNet and ViscNet, two deep learning predictive models of glass and glass-forming liquid properties. Click [here](https://glasspy.readthedocs.io) for the documentation.
## How to install
The source code is available on GitHub at https://github.com/drcassar/glasspy.
Binary installers for the latest released version are available from the [Python Package Index](https://pypi.org/project/glasspy/).
Before installing GlassPy, make sure that you have `pytorch` installed (see the instructions [here](https://pytorch.org/get-started/locally/)).
To install GlassPy with pip run
```sh
pip install glasspy
```
## Development
GlassPy is under development. API changes are not only likely, but expected as development continues.
## How to cite
If GlassPy or GlassNet was useful in your research, please cite the following paper:
> Cassar, D.R. (2023). GlassNet: A multitask deep neural network for predicting many glass properties. Ceramics International 49, 36013–36024. 10.1016/j.ceramint.2023.08.281.
## GlassPy license
[GPL](https://github.com/drcassar/glasspy/blob/master/LICENSE)
GlassPy, Python module for scientists working with glass materials. Copyright (C) 2019-2024 Daniel Roberto Cassar
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
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