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vasprun-xml

A python package for quick analysis of vasp calculation

With conditionsPyPI Information AnalysisReleased Feb 2022563.0K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — vasprun_xml-1.0.4-py3-none-any.whl
v1.0.4 · released 2022-02-14 · Python >=3.6.1 · 6 runtime deps: lxml, pandas, numpy, scipy, matplotlib, tabulate

Yes, if you actively run VASP calculations and need quick post-processing. The package is stable (no known vulnerabilities), has low install friction, and covers common analysis tasks. However, maintenance is dormant since early 2022—expect no updates for bugs or new VASP features. If you need active support or cutting-edge VASP compatibility, consider whether the feature set meets your needs before committing.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a valid vasprun.xml file from a completed VASP calculation; Python >= 3.6.1.
  • Low friction installation with standard scientific Python dependencies (numpy, scipy, matplotlib, pandas, lxml).
  • Maintenance is dormant—last release was 2022-02-14 and no commits since 2024-06-07—so expect no active bug fixes or feature updates.

License · maintenance · safety

MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.

last release 2022-02-14 (1642 days) · last repo commit 2024-06-07 · 38 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 562,960 downloads/mo, #5,984 on PyPI

Verify before relying

pip install vasprun-xml

from vasprun_xml import Vasprun

vr = Vasprun('vasprun.xml')
bandgap = vr.bandgap
print(f'Band gap: {bandgap} eV')
  • Whether elastic constants feature mentioned in description is actually implemented (marked 'to add').
  • Current state of the readthedocs documentation and whether all listed features are fully functional.
Same gist for agents: .md · .json

What it is and what it does

vasprun-xml is a Python package for extracting and analyzing results from VASP (Vienna Ab initio Simulation Package) calculations directly from the vasprun.xml output file. It wraps common post-processing tasks—band gap extraction, density-of-states plotting, band structure visualization with color mapping, and eigenvalue analysis—into a single interface, eliminating the need to write custom parsing code for each calculation.

The package depends on standard scientific Python libraries: numpy for numerical operations, scipy for advanced calculations, matplotlib for plotting, pandas for data handling, lxml for XML parsing, and tabulate for formatted output. It targets researchers and computational materials scientists who run VASP simulations and need quick, reproducible analysis without learning VASP's native tools or writing boilerplate parsing scripts.

Use it for

  • Extract band gap values and electronic structure properties from completed VASP calculations for high-throughput screening.
  • Generate publication-quality density-of-states and band structure plots with color-mapped orbital contributions.
  • Analyze force vectors and dynamical matrices to study phonon properties and structural stability.
  • Parse INCAR, POTCAR, and POSCAR files for workflow automation and calculation reproducibility.
  • Calculate dielectric constants and polarization from VASP output for ferroelectric or optical property studies.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you actively run VASP calculations and need quick post-processing.

The package is stable (no known vulnerabilities), has low install friction, and covers common analysis tasks. However, maintenance is dormant since early 2022—expect no updates for bugs or new VASP features. If you need active support or cutting-edge VASP compatibility, consider whether the feature set meets your needs before committing.

Install

vasprun-xml on PyPI

Before you install

Low friction installation with standard scientific Python dependencies (numpy, scipy, matplotlib, pandas, lxml). Maintenance is dormant—last release was 2022-02-14 and no commits since 2024-06-07—so expect no active bug fixes or feature updates.

Requires a valid vasprun.xml file from a completed VASP calculation; Python >= 3.6.1.

License in practice

MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.

Quickstart

pip install vasprun-xml

from vasprun_xml import Vasprun

vr = Vasprun('vasprun.xml')
bandgap = vr.bandgap
print(f'Band gap: {bandgap} eV')

Verify before relying

  • Whether elastic constants feature mentioned in description is actually implemented (marked 'to add').
  • Current state of the readthedocs documentation and whether all listed features are fully functional.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.6.1
Install frictionLow. Pure-Python wheel
Runtime dependencies
6 packages
lxmlpandasnumpyscipymatplotlibtabulate
MaintenanceDormant 1,642 days since the last release
Last repo commit
First released
Downloads562,960 / month, #5,984 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3

Evidence: vasprun_xml-1.0.4-py3-none-any.whl

Tags

Capabilities
vasp output analysisband structure plottingdensity of states calculationvasprun.xml parservasp band gapvasp dos visualizationcomputational materials analysis
Topics
vasp-analysismaterials-sciencecomputational-chemistry

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See also atomate2 · pymatgen-io-validation · phonopy · pymatgen · dpdata · periodictable · thermo · pyxtal · pymatgen-core · symfc