Skip to main content

A unified command-line toolkit for atomistic / MD structure workflows.

Project description

pymdkit

A single command-line tool that bundles a collection of atomistic / molecular-dynamics structure scripts behind one executable: pymdkit. Instead of copying individual scripts into each working folder and running python some_script.py, you install pymdkit once and call any tool from anywhere as pymdkit <command> [options].

Every command exposes named -flags (no positional guessing), and each underlying script is still runnable on its own.

Install

Create a clean conda environment, activate it, then install pymdkit with pip:

conda create -n pymdkit python=3.10
conda activate pymdkit
pip install pymdkit

This installs the pymdkit command into the active conda environment, together with its dependencies (numpy, scipy, ase, pymatgen, pyxtal, mp_api, gemmi, tqdm).

Verify:

pymdkit -version
pymdkit -help                   # lists every command
pymdkit <command> -help         # shows that command's flags

Commands

Commands that transform structures accept either a single file (-i/-o) or a whole folder (-if/-of); commands that analyse VASP runs scan the current directory for job sub-folders automatically.

Command What it does
add-groups Tag atoms with a GPUMD group index by element order
electrostatic-energy Compute CIF electrostatic energy with pymatgen EwaldSummation
ehull Auto-detect VASP job folders and compute E_hull vs Materials Project
final-energy List VASP job final energies from lowest to highest
gather-contcar Collect CONTCARs from VASP job folders into one folder, renamed <folder>.vasp
msd Diffusivity & conductivity from GPUMD MSD jobs (auto-scans <structure>/<temp>/)
nep-rmse Compute NEP energy/force/stress RMSE with ASCII plots and optional candidate selection
perturb Generate perturbed structures with dpdata
vasp2xyz Collect SCF-converged VASP job folders (any name) into one extxyz file
submit-vasp Submit/resubmit VASP job folders while limiting active queue jobs
rmsd Compute RMSD between two structure files, or all pairs in a folder
stable-entry Download stable Materials Project structures for a chemical system
stru2xyz Convert structure file(s) of any format to extxyz
substitute Randomly substitute or remove selected atoms/sites from a structure
supercell Build a supercell with cell lengths capped at a maximum (Angstrom); optional per-temperature GPUMD setup
symmetrize Import space-group symmetry into a structure file (or folder) -> CIF
vasp-relax Write VASP relaxation inputs for a structure (or folder); INCAR tags overridable
vasp-static Write VASP static / single-point inputs for a structure (or folder)

Examples

pymdkit add-groups -i opted.cif -elements Li Y Cl -o model.xyz
pymdkit add-groups -if cifs/ -elements Li Y Cl -of cifs-grouped/   # whole folder
pymdkit add-groups -elements Li Y Cl                              # scan subfolders, tag each model.xyz in place
pymdkit stru2xyz -i opted.vasp -o opted.xyz                        # convert one file
pymdkit stru2xyz -if vasp-opted -of xyz-opted                      # convert a whole folder
pymdkit stru2xyz                                                  # scan subfolders, convert structures in place
pymdkit supercell -i opted.vasp -o sc.vasp -max-abc 20            # cell lengths <= 20 A
pymdkit supercell -if vasp-opted -max-abc 20 -individual          # per-structure ./<name>/<name>.<ext>
pymdkit supercell -if extxyz-opted -max-abc 24 -individual -temp 500 600 -md-if input-files -add-groups Li Y Cl
                                                                  # GPUMD: ./<name>/model.xyz (grouped) + ./<name>/<T>/ jobs
pymdkit vasp-relax  -i opted.vasp                                  # relax inputs in current dir
pymdkit vasp-relax  -if optimal_occupancy                          # one ./<name>/ job folder per structure
pymdkit vasp-static -if cifs/ -custom-setting my_incar.txt         # static inputs, custom INCAR
pymdkit vasp-static -it traj.xyz                                    # one ./frame_N/ job per trajectory frame
pymdkit msd                                         # scans <structure>/<temp>/ -> per-job msd/ + msd_summary.txt
pymdkit msd -diffuse_ion Li -ion_charge 1         # choose the mobile ion for conductivity
pymdkit stable-entry -s Li La Ta Cl                 # MP stable entries -> Li-La-Ta-Cl-stable-entries/
pymdkit ehull -mp-api-key $MP_API_KEY              # scans ./ for VASP jobs -> ehull.txt
pymdkit ehull -local Li-La-Ta-Cl-stable-entries-opted
pymdkit final-energy                                # scans ./ for VASP jobs -> final-energy.txt with convergence status
pymdkit gather-contcar -of vasp-opted               # CONTCARs -> vasp-opted/<folder>.vasp
pymdkit gather-contcar -of vasp-opted -ehull 0.028  # only structures with E_hull < 0.028 eV/atom
pymdkit vasp2xyz                                    # scans ./ for VASP output folders -> scf-converged.xyz
pymdkit vasp2xyz -position-only                    # write positions only, without energy/forces/stress
pymdkit submit-vasp -subscript sub_vasp -queue slurm -max-job-num 30
nohup pymdkit submit-vasp -subscript sub_vasp -queue slurm -max-job-num 30 > submit-vasp.log 2>&1 &
pymdkit substitute -i Li3YCl6.cif -se Li -sn 3 -we Na -wn 3 -on 100
pymdkit substitute -i Li3YCl6.cif -se Li -sn 3 -we none -on 100
pymdkit substitute -i Li96Ta6La11Cl72.cif -se Li1 Li2 -sn 20 67 -we none -on 100
pymdkit substitute -i Li96Ta6La11Cl72.cif -se Li2 -we none -ref La Ta -d 1.01 1.02
pymdkit substitute -i Li96Ta6La11Cl72.cif -se Li2 -we none -ref La Ta
pymdkit electrostatic-energy -i Li3YCl6.cif
pymdkit electrostatic-energy -if Li3YCl6-all
pymdkit nep-rmse                                    # writes energy/force/stress train txt files, rmse_value.txt, and terminal plots
pymdkit nep-rmse -select-candidate -xyz train.xyz   # interactive candidate selection; writes candidate.xyz and accurate.xyz
pymdkit perturb -i example.xyz -atom 0.2 -lattice 0.03 -n 100 -o example-perturb-atom-0.2-lattice-0.03.xyz

pymdkit rmsd a.cif b.cif                            # RMSD of two files -> rmsd.txt
pymdkit rmsd vasp-opted/                            # all pairs in a folder -> rmsd.txt
pymdkit symmetrize -i opted.cif -symprec 0.01 -add_oxidation yes -o opted-symm.cif
pymdkit symmetrize -if my_cifs/ -symprec 0.01 -add_oxidation no -of my_cifs-symm

VASP input commands (vasp-relax, vasp-static) always produce individual jobs (one structure per folder): -i writes into the current dir (or -o), -if creates one ./<name>/ folder per structure, and -it creates one ./frame_N/ folder per trajectory frame - all directly in the current path.

They start from sensible default INCAR settings; override them by passing a settings file with -custom-setting FILE. The file may be a Python-dict block or KEY = VALUE lines (a None/blank value clears a tag):

custom_settings = {
    "ENCUT": "600.0",
    "ISIF": "3",
    "MAGMOM": None
}

vasp-static -it traj.xyz (also available on vasp-relax) reads a multi-structure trajectory and writes one job sub-folder per frame (frame_1/, frame_2/, ..., prefix configurable via -frame-prefix). Each folder also keeps a frame_N.xyz, so Config_type survives for a later vasp2xyz.

Each command's full flag list is in pymdkit <command> -help.

For long VASP batch submission, run submit-vasp with nohup and & if you want it to keep sleeping, checking the queue, and submitting new jobs after you exit the terminal:

nohup pymdkit submit-vasp -subscript sub_vasp -queue slurm -max-job-num 30 > submit-vasp.log 2>&1 &

The command itself controls the loop: it submits until the active queue reaches -max-job-num, sleeps when the queue is full, checks again, and continues until all needed jobs are submitted. nohup ... & is what makes that loop continue in the background after logout.

substitute -ref removes selected sites near reference sites and writes one <input-stem>_substitute.cif in the current path. If -d is omitted, each cutoff is 0.7 * (selected covalent radius + reference covalent radius) using the covalent radii from Cordero et al., Dalton Trans., 2008, 2832-2838.

VASP-output readers (vasp2xyz, ehull, and other future VASP-output commands) use the global priority vaspout.h5 > vasprun.xml > OUTCAR.

ehull auto-detects every sub-folder of the current path that contains a supported VASP output, groups them by chemical system (elements ordered by electronegativity, e.g. Li-Y-Cl), and builds/reuses one mp_cache_<system>.json per system - so a pure Li-Y-Cl batch yields a single mp_cache_Li-Y-Cl.json, while a mixed Li-Y-Cl + La-O batch yields both mp_cache_Li-Y-Cl.json and mp_cache_La-O.json. (Formation energy is reported alongside E_hull in ehull.txt.)

Layout

pymdkit/
|-- pyproject.toml              # package metadata + the `pymdkit` entry point
|-- README.md
`-- src/pymdkit/
    |-- pymdkit_main.py         # dispatcher: discovers and runs commands
    `-- commands/               # one module per command
        |-- _fileio.py          # shared -i/-o/-if/-of helper (not a command)
        |-- _vaspset.py         # shared VASP input-set helper (not a command)
        |-- add_groups.py
        |-- compute_ehull.py
        |-- compute_rmsd.py
        |-- electrostatic_energy.py
        |-- final_energy.py
        |-- perturb.py
        |-- nep_rmse.py
        |-- stable_entry.py
        |-- submit_vasp.py
        |-- stru2xyz.py
        |-- substitute.py
        |-- supercell.py
        |-- vasp2xyz.py
        |-- vasp_relax.py
        |-- vasp_static.py
        |-- ...
        `-- symmetrize.py

Modules whose name starts with _ are shared helpers and are skipped by the dispatcher, so they never appear as commands.

Adding a new tool later

Drop a module in src/pymdkit/commands/ that defines four things:

COMMAND = "my-tool"                 # the subcommand name you'll type
HELP = "One-line description."

def add_arguments(parser):          # register flags
    parser.add_argument("-input", required=True)

def run(args):                      # do the work; return an exit code (0 = ok)
    ...
    return 0

if __name__ == "__main__":          # keeps the script runnable on its own
    import argparse
    _p = argparse.ArgumentParser(description=__doc__)
    add_arguments(_p)
    raise SystemExit(run(_p.parse_args()))

It will appear in pymdkit -help automatically - no central registration needed. Put heavy imports (pymatgen, ase, ...) inside run() where practical; the dispatcher reads each command's name and help without importing it, so pymdkit -help stays fast and a missing optional dependency only affects the one command that needs it.

Running a script standalone

Every command module still works directly, which is handy for debugging:

python src/pymdkit/commands/supercell.py -i in.cif -max-abc 20 -o sc.vasp

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

pymdkit-1.2.0.tar.gz (61.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pymdkit-1.2.0-py3-none-any.whl (69.4 kB view details)

Uploaded Python 3

File details

Details for the file pymdkit-1.2.0.tar.gz.

File metadata

  • Download URL: pymdkit-1.2.0.tar.gz
  • Upload date:
  • Size: 61.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for pymdkit-1.2.0.tar.gz
Algorithm Hash digest
SHA256 44a9a3953110d02fb922d8cafcffc5a374cbce83db6a053ec2a3e867a8ff3b54
MD5 09c778006612a3b308074387931227dc
BLAKE2b-256 7698edf6c9b49094e3048d32df0af71da1c90e75eaeee3d1b95d98214dca4aa5

See more details on using hashes here.

File details

Details for the file pymdkit-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: pymdkit-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 69.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for pymdkit-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 161eb16c1e793dcabf2ae452340f95d9ab7c60d2258d2a09affa6ac264a7c745
MD5 05de3aefbc878a14b9d3ec8c9d5c734f
BLAKE2b-256 c86595e0c4fd8cfa32dda24c8e8fa942edd0c3ca314eabcd16a8bbc380887a0d

See more details on using hashes here.

Supported by

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