Metadata-Version: 2.1
Name: QMCblip
Version: 1.0.7
Summary: A small package to couple Quantum Monte Carlo codes to Machine Learning Force Fields through ASE.
Home-page: https://github.com/NLESC-JCER/QMCblip
Author: Emiel Slootman
Author-email: e.slootman@esciencecenter.nl
License: Apache Software License 2.0
Project-URL: Bug Tracker, https://github.com/NLESC-JCER/QMCblip/issues
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7, <3.10
Description-Content-Type: text/markdown
License-File: LICENSE

# QMCblip

QMC Based Learning of Interatomic Potentials

[![PyPI version](https://badge.fury.io/py/QMCblip.svg)](https://badge.fury.io/py/QMCblip) 
[![Build Status](https://github.com/NLESC-JCER/QMCblip/actions/workflows/self-hosted-build.yml/badge.svg)](https://github.com/NLESC-JCER/QMCblip/actions)
[![Documentation Status](https://readthedocs.org/projects/qmcblip/badge/?version=latest)](https://qmcblip.readthedocs.io/en/latest/?badge=latest)
[![GitHub](https://img.shields.io/github/license/NLESC-JCER/QMCblip)](https://github.com/NLESC-JCER/QMCblip/blob/master/LICENSE)
[![Coverage Status](https://coveralls.io/repos/github/NLESC-JCER/QMCblip/badge.svg?branch=master)](https://coveralls.io/github/NLESC-JCER/QMCblip?branch=master)

# Installation

You can install this package by cloning this repository:
```
git clone https://github.com/NLESC-JCER/QMCblip.git
cd QMCblip
pip install .
```

or by installing it from Pypi:
```
pip install qmcblip
```
## Documentation

The documentation of this code can be found on https://qmcblip.readthedocs.io/.
