Skip to main content

pymdkit

A single command-line tool that bundles a collection of atomistic / molecular-dynamics structure scripts behind one executable: pmk. 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 pmk <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 pmk command into the active conda environment, together with its direct dependencies, including ASE, pymatgen, py4vasp-core, dpdata, matplotlib, and UMAP. Some of these packages may install their own transitive dependencies.

Verify:

pmk -version
pmk -help                   # lists every command
pmk <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-config-type Add Config_type to one XYZ structure or every trajectory frame
gpumd-group Tag atoms with a GPUMD group index by element order
ewald Compute CIF electrostatic energy with pymatgen EwaldSummation
ehull Auto-detect VASP job folders and compute E_hull vs Materials Project
vasp-fe List VASP job final energies from lowest to highest
gather-contcar Collect CONTCARs from VASP job folders into one folder, renamed <folder>.vasp
gpumd-thermo Export and plot GPUMD thermo data and detect sustained equilibrium changes
gpumd-trjcat Merge stable GPUMD trajectories and extract abnormal time regions
pca Reduce descriptor data to two dimensions; optional FPS sampling
trj-extract Extract a GPUMD XYZ trajectory by time range
umap Reduce descriptor data to two dimensions with UMAP; optional FPS sampling
msd Diffusivity & conductivity from GPUMD MSD jobs (auto-scans <structure>/<temp>/)
nep-rmse Compute NEP energy/force/stress RMSE with terminal 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
chemsys-entry Download stable Materials Project structures for a chemical system
convert Convert structures, trajectories, or folders between ASE/pymatgen formats
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

pmk add-config-type -i single-structure.xyz -n P-3m1
pmk add-config-type -it trajectory.xyz -n P-3m1
pmk gpumd-group -i opted.cif -elements Li Y Cl -o model.xyz
pmk gpumd-group -if cifs/ -elements Li Y Cl -of cifs-grouped/   # whole folder
pmk gpumd-group -elements Li Y Cl                              # scan subfolders, tag each model.xyz in place
pmk convert -i opted.vasp -o opted.xyz                          # convert one structure
pmk convert -if vasp-opted -of cif-opted -oe cif                # folder conversion target format
pmk convert -it train.xyz -ot train.extxyz                      # convert a complete trajectory
pmk supercell -i opted.vasp -o sc.vasp -max-abc 20            # cell lengths <= 20 A
pmk supercell -if vasp-opted -max-abc 20 -individual          # per-structure ./<name>/<name>.<ext>
pmk 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
pmk vasp-relax  -i opted.vasp                                  # relax inputs in current dir
pmk vasp-relax  -if optimal_occupancy                          # one ./<name>/ job folder per structure
pmk vasp-static -if cifs/ -custom-setting my_incar.txt         # static inputs, custom INCAR
pmk vasp-static -it traj.xyz                                    # one ./frame_N/ job per trajectory frame
pmk msd                                         # scans <structure>/<temp>/ -> per-job msd/ + msd_summary.txt
pmk msd -diffuse_ion Li -ion_charge 1         # choose the mobile ion for conductivity
pmk chemsys-entry -s Li La Ta Cl                 # MP stable entries -> Li-La-Ta-Cl-stable-entries/
pmk ehull -mp-api-key $MP_API_KEY              # scans ./ for VASP jobs -> ehull.txt
pmk ehull -local Li-La-Ta-Cl-stable-entries-opted
pmk vasp-fe                                # scans ./ for VASP jobs -> final-energy.txt with convergence status
pmk gather-contcar -of vasp-opted               # CONTCARs -> vasp-opted/<folder>.vasp
pmk gather-contcar -of vasp-opted -ehull 0.028  # only structures with E_hull < 0.028 eV/atom
pmk vasp2xyz                                    # scans ./ for VASP output folders -> scf-converged.xyz
pmk vasp2xyz -position-only                    # write positions only, without energy/forces/stress
pmk submit-vasp -subscript sub_vasp -queue slurm -max-job-num 30
nohup pmk submit-vasp -subscript sub_vasp -queue slurm -max-job-num 30 > submit-vasp.log 2>&1 &
pmk substitute -i Li3YCl6.cif -se Li -sn 3 -we Na -wn 3 -on 100
pmk substitute -i Li3YCl6.cif -se Li -sn 3 -we none -on 100
pmk substitute -i Li96Ta6La11Cl72.cif -se Li1 Li2 -sn 20 67 -we none -on 100
pmk substitute -i Li96Ta6La11Cl72.cif -se Li2 -we none -ref La Ta -d 1.01 1.02
pmk substitute -i Li96Ta6La11Cl72.cif -se Li2 -we none -ref La Ta
pmk ewald -i Li3YCl6.cif
pmk ewald -if Li3YCl6-all
pmk nep-rmse                                    # writes energy/force/stress train txt files, rmse_value.txt, and terminal plots
pmk nep-rmse -select -xyz train.xyz   # interactive candidate selection; writes candidate.xyz and accurate.xyz
pmk perturb -i example.xyz -atom 0.2 -lattice 0.03 -n 100 -o example-perturb-atom-0.2-lattice-0.03.xyz
pmk pca -i descriptor.out -o pca-descriptor.txt -it train.xyz  # also split descriptors by Config_type
pmk pca -i descriptor.out -o pca-descriptor.txt -fps 0.01 -it train.xyz
pmk umap -i descriptor.out -o umap-descriptor.txt -fps 0.01 -it train.xyz
pmk gpumd-thermo                              # current job, or recursively scan job folders
pmk gpumd-thermo -t thermo.out -in run.in
pmk gpumd-trjcat                            # stable frames -> train.xyz; abnormal regions -> abnormal.xyz
pmk gpumd-trjcat -i traj.xyz -o train.xyz -ao abnormal.xyz
pmk trj-extract -it traj.xyz -in run.in -b 100 -e 200 -o traj-100ps-200ps.xyz

pmk rmsd a.cif b.cif                            # RMSD of two files -> rmsd.txt
pmk rmsd vasp-opted/                            # all pairs in a folder -> rmsd.txt
pmk symmetrize -i opted.cif -symprec 0.01 -add_oxidation yes -o opted-symm.cif
pmk 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.

add-config-type updates its input atomically in place. With -i, the file must contain exactly one XYZ structure; use -it for a trajectory. Existing Config_type values are replaced, missing values are added, and all other extended-XYZ bytes remain unchanged.

nep-rmse -select, PCA FPS, and UMAP FPS copy selected extended-XYZ frame blocks directly from the input trajectory. No parser rewrites energy, stress, forces, positions, precision, or extra metadata.

When pca or umap receives -it train.xyz, it reads Config_type from every frame and writes one additional descriptor table per value, such as pca-descriptor-P-3m1.txt and pca-descriptor-Pnma.txt. With -fps, it also writes matching files such as fps-0.01-pca-descriptor-P-3m1.txt and fps-0.01-train-P-3m1.xyz. These files partition the single global FPS selection; FPS is not rerun independently for each Config_type. Frames without Config_type remain in the main outputs but do not receive a type-specific file.

For folder conversion, convert -if INPUT -of OUTPUT writes .xyz by default. Set another target extension with -oe, for example -oe cif or -oe vasp. Single-file and trajectory modes infer the target format from -o and -ot.

gpumd-thermo writes temperature.txt, potential-energy.txt, pressure.txt, lattice-parameters.txt, volume.txt, lattice-angles.txt, and a headless thermo.png in every detected GPUMD job folder. Potential energy is the primary equilibrium signal. Detection requires a persistent change with a meaningful magnitude relative to the robust natural energy fluctuations, so ordinary correlated thermal noise and isolated spikes are not classified as abnormal. Lattice parameters, volume, temperature, pressure, and angles remain supporting diagnostics. The analysis uses the last run segment, or the last 80% when run.in has no run record; inspect the plot before making a final scientific judgment.

gpumd-trjcat recursively scans job subfolders for traj.xyz, thermo.out, and run.in. Stable trajectories are merged in deterministic folder order into train.xyz (or -o). For an abnormal job, only frames whose times fall in potential-energy abnormal regions are written to abnormal.xyz (or -ao); frame times are obtained from time_step and dump_xyz in that job's run.in. Missing, unreadable, or unmappable jobs are skipped. When <job>/model.xyz contains Config_type, that value is applied to every exported frame while all other extended-XYZ bytes remain unchanged.

Each command's full flag list is in pmk <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 pmk 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, vasp-fe, 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 `pmk` 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)
        |-- _gpumd.py           # shared GPUMD run.in and thermo analysis
        |-- _geometry.py        # shared minimum-image geometry helper
        |-- _vaspset.py         # shared VASP input-set helper (not a command)
        |-- gpumd_group.py
        |-- gpumd_thermo.py
        |-- gpumd_trjcat.py
        |-- compute_ehull.py
        |-- compute_rmsd.py
        |-- ewald.py
        |-- vasp_fe.py
        |-- perturb.py
        |-- nep_rmse.py
        |-- add_config_type.py
        |-- chemsys_entry.py
        |-- submit_vasp.py
        |-- convert.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 pmk -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 pmk -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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymdkit-1.4.3.tar.gz (78.9 kB view details)

Uploaded Source

Built Distribution

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

pymdkit-1.4.3-py3-none-any.whl (89.3 kB view details)

Uploaded Python 3

File details

Details for the file pymdkit-1.4.3.tar.gz.

File metadata

  • Download URL: pymdkit-1.4.3.tar.gz
  • Upload date:
  • Size: 78.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for pymdkit-1.4.3.tar.gz
Algorithm Hash digest
SHA256 f0fd13844799b396ba348c895ef0041259280d248b3f4d67a711585e12a32e6c
MD5 306e7100ecc3909e738f5f060d708e76
BLAKE2b-256 fb22c754d3794f5dc1bba1361da68a9dfe17e64efa78c5b4f27a33d976dc212b

See more details on using hashes here.

File details

Details for the file pymdkit-1.4.3-py3-none-any.whl.

File metadata

  • Download URL: pymdkit-1.4.3-py3-none-any.whl
  • Upload date:
  • Size: 89.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for pymdkit-1.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 02a429b2144626275b5f72ffd34dce39dd6fd30d96cc46faf82b73d4670afee0
MD5 0b64d01245c7cdba4ce87f163c32f9e8
BLAKE2b-256 b5b35b121135a79b28c9244e30c8e20811f7220de1066cb142e11656ccb7d1e9

See more details on using hashes here.

Release history Release notifications | RSS feed

1.7.1

2 files

1.7.0

2 files

1.6.12

2 files

1.6.11

2 files

1.6.10

2 files

1.6.9

2 files

1.6.8

2 files

1.6.7

2 files

1.6.6

2 files

1.6.5

2 files

1.6.4

2 files

1.6.3

2 files

1.6.2

2 files

1.6.1

2 files

1.6.0

2 files

1.5.9

2 files

1.5.8

2 files

1.5.7

2 files

1.5.6

2 files

1.5.5

2 files

1.5.4

2 files

1.5.3

2 files

1.5.2

2 files

1.5.1

2 files

1.5.0

2 files

1.4.13

2 files

1.4.12

2 files

1.4.11

2 files

1.4.10

2 files

1.4.9

2 files

1.4.8

2 files

1.4.7

2 files

1.4.6

2 files

1.4.5

2 files

1.4.4

2 files

This release

1.4.3 This release

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.0

2 files

1.2.12

2 files

1.2.11

2 files

1.2.10

2 files

1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.10

2 files

1.1.9

2 files

1.1.8

2 files

1.1.7

2 files

1.1.6

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.0

2 files

Supported by

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