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dpdata-cli

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Convert and manipulate atomic simulation data formats using dpdata CLI. Use when converting between DFT/MD output formats (VASP, LAMMPS, QE, CP2K, Gaussian, ABACUS, etc.), preparing training data for DeePMD-kit, or working with DeePMD formats. Supports 50+ formats including deepmd/raw, deepmd/comp, deepmd/npy, deepmd/hdf5.

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dpdata CLI

dpdata is a tool for manipulating multiple atomic simulation data formats. This skill enables format conversion between various DFT/MD software outputs via command line.

Quick Start

Run dpdata via uvx:

uvx dpdata <from_file> [options]

Command Line Usage

dpdata: Manipulating multiple atomic simulation data formats
usage: dpdata [-h] [--to_file TO_FILE] [--from_format FROM_FORMAT]
              [--to_format TO_FORMAT] [--no-labeled] [--multi]
              [--type-map TYPE_MAP [TYPE_MAP ...]] [--version]
              from_file

Arguments

ArgumentDescription
from_fileRead data from a file (positional)
--to_file, -ODump data to a file
--from_format, -iFormat of from_file (default: "auto")
--to_format, -oFormat of to_file
--no-labeled, -nLabels aren't provided (default: False)
--multi, -mSystem contains multiple directories (default: False)
--type-map, -tType map for atom types
--versionShow dpdata version and exit

Common Examples

Convert VASP OUTCAR to deepmd format

uvx dpdata OUTCAR -i vasp/outcar -O deepmd_data -o deepmd/raw

Convert LAMMPS dump to VASP POSCAR

uvx dpdata dump.lammps -i lammps/dump -O POSCAR -o vasp/poscar

Convert with type map

uvx dpdata OUTCAR -i vasp/outcar -O deepmd_data -o deepmd/raw -t C H O N

Convert multiple systems

uvx dpdata data_dir -i vasp/outcar -O output_dir -o deepmd/comp --multi

Convert to deepmd/npy (compressed format)

uvx dpdata OUTCAR -i vasp/outcar -O deepmd_npy -o deepmd/npy

Convert to deepmd/hdf5

uvx dpdata OUTCAR -i vasp/outcar -O data.h5 -o deepmd/hdf5

Supported Formats

Formats may be updated. For the complete and latest list, see:

DeePMD-kit Formats

Format NameDescription
deepmd/rawDeePMD-kit raw text format
deepmd/comp / deepmd/npyDeePMD-kit compressed numpy format
deepmd/npy/mixedDeePMD-kit mixed type format
deepmd/hdf5DeePMD-kit HDF5 format

VASP Formats

Format NameDescription
vasp/poscar / vasp/contcar / poscar / contcarVASP structure files
vasp/outcar / outcarVASP OUTCAR output
vasp/xml / xmlVASP XML output
vasp/stringVASP string format

LAMMPS Formats

Format NameDescription
lammps/lmp / lmpLAMMPS data file
lammps/dump / dumpLAMMPS dump file

ABACUS Formats

Format NameDescription
stru / abacus/struABACUS structure file
abacus/lcao/scf / abacus/pw/scf / abacus/scfABACUS SCF output
abacus/lcao/md / abacus/pw/md / abacus/mdABACUS MD output
abacus/lcao/relax / abacus/pw/relax / abacus/relaxABACUS relax output

Quantum ESPRESSO Formats

Format NameDescription
qe/cp/trajQE CP trajectory
qe/pw/scfQE PWscf output

CP2K Formats

Format NameDescription
cp2k/outputCP2K output
cp2k/aimd_outputCP2K AIMD output

Gaussian Formats

Format NameDescription
gaussian/logGaussian log file
gaussian/fchkGaussian formatted checkpoint
gaussian/mdGaussian MD output
gaussian/gjfGaussian input file

Other Formats

Format NameDescription
xyzXYZ format
mace/xyz / nequip/xyz / gpumd/xyz / extxyz / quip/gap/xyzExtended XYZ variants
ase/structureASE structure format
ase/trajASE trajectory
pymatgen/structurepymatgen structure
pymatgen/moleculepymatgen molecule
gromacs/gro / groGROMACS gro file
siesta/outputSIESTA output
siesta/aimd_outputSIESTA AIMD output
pwmat/output / pwmat/mlmd / pwmat/movementPWmat output
pwmat/final.config / pwmat/atom.configPWmat config
orca/spoutORCA output
psi4/outPSI4 output
dftbplusDFTB+ output
fhi_aims/output / fhi_aims/mdFHI-aims output
amber/mdAMBER MD
n2p2n2p2 format
mol_file / molMOL file
sdf_file / sdfSDF file
openmx/mdOpenMX MD
sqm/outSQM output
sqm/inSQM input
listList format
3dmol3Dmol visualization

Tips

  1. Auto-detection: Use -i auto (default) to let dpdata detect format automatically
  2. Type mapping: Use -t to specify atom type order for deepmd formats
  3. Multi-system: Use --multi for directories containing multiple systems
  4. Compressed output: Use deepmd/npy or deepmd/hdf5 for smaller file sizes

References