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Manipulating data formats of DeePMD-kit, VASP, QE, PWmat, and LAMMPS, etc.

Project description

dpdata

conda-forge pip install Documentation Status

dpdata is a Python package for manipulating atomistic data of software in computational science.

Installation

DP-GEN only supports Python 3.7 and above. You can setup a conda/pip environment, and then use one of the following methods to install DP-GEN:

  • Install via pip: pip install dpdata
  • Install via conda: conda install -c conda-forge dpdata
  • Install from source code: git clone https://github.com/deepmodeling/dpdata && pip install ./dpdata

To test if the installation is successful, you may execute

dpdata --version

Supported packages

dpdata is aimmed to support different kinds of atomistic packages:

  • Atomistic machine learning packages, such as DeePMD-kit;
  • Molecular dynamics packages, such as LAMMPS and GROMACS;
  • Quantum chemistry packages, such as VASP, Gaussian, and ABACUS;
  • Atomistic visualization packages, such as 3Dmol.js.
  • Other atomistic tools, such as ASE.
  • Common formats such as xyz.

All supported formats are listed here.

Quick start

The quickest way to convert a simple file from one format to another one is to use the command line.

dpdata OUTCAR -i vasp/outcar -o deepmd/npy -O deepmd_data

For advanced usage with Python APIs, read dpdata documentation.

Plugins

  • cp2kdata adds the latest CP2K support for dpdata.

For how to create your own plugin packages, read dpdata documentation.

Project details


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