pyevtk
Export data as binary VTK files
Decision gist · record as of 2026-08-14
Yes. Low install friction, active maintenance, no security vulnerabilities, MIT license, and broad Python version support (3.7–3.14) make this a safe choice. Install it if you need to export scientific data to VTK format for visualization; the NumPy-only dependency keeps it lightweight and portable.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python package with only NumPy as a runtime dependency, distributed as a wheel.
- Active maintenance with a recent release (78 days ago) and ongoing commits.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.
last release 2026-05-28 (78 days) · last repo commit 2026-05-28 · 68 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 240,873 downloads/mo, #8,895 on PyPI
Alternatives
Verify before relying
pip install pyevtk
import numpy as np
from pyevtk.hl import gridToVTK
# Export a simple structured grid
x = np.arange(0, 10, 1, dtype='float64')
y = np.arange(0, 10, 1, dtype='float64')
z = np.arange(0, 10, 1, dtype='float64')
data = np.random.rand(9, 9, 9)
gridToVTK('./output', x, y, z, cellData={'data': data})- Whether the package handles large simulation datasets efficiently as claimed in design guidelines
- Current state of documentation beyond the README and examples directory
What it is and what it does
PyEVTK is a pure Python package for exporting scientific simulation data to binary VTK format, the standard file format for visualization in ParaView, VisIt, Mayavi, and other VTK-compatible tools. It requires only NumPy and provides both low-level interfaces for arbitrary data containers and high-level convenience functions for NumPy arrays, supporting common grid types (image data, rectilinear, structured grids) and point sets.
The package is designed for post-processing workflows where you need to write simulation results to disk in a format that visualization software can read. It handles the binary VTK encoding internally, so you work with NumPy arrays and call export functions rather than managing file formats directly. Since version 0.9 it is pure Python with no external compiled dependencies, making installation straightforward across platforms.
Use it for
- Export structured grid results from finite-element or finite-difference simulations for visualization in ParaView
- Write point cloud data from particle or meshless simulations to VTK format for post-processing analysis
- Convert NumPy array data to VTK binary files as part of a scientific computing pipeline
- Generate rectilinear grid exports from computational fluid dynamics or geophysical modeling codes
- Batch export simulation snapshots to VTK for time-series visualization in VisIt or Mayavi
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Low install friction, active maintenance, no security vulnerabilities, MIT license, and broad Python version support (3.7–3.14) make this a safe choice. Install it if you need to export scientific data to VTK format for visualization; the NumPy-only dependency keeps it lightweight and portable.
Install
pyevtk on PyPI
Before you install
Low friction: pure Python package with only NumPy as a runtime dependency, distributed as a wheel. Active maintenance with a recent release (78 days ago) and ongoing commits.
License in practice
MIT license is permissive; you can use this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install pyevtk
import numpy as np
from pyevtk.hl import gridToVTK
# Export a simple structured grid
x = np.arange(0, 10, 1, dtype='float64')
y = np.arange(0, 10, 1, dtype='float64')
z = np.arange(0, 10, 1, dtype='float64')
data = np.random.rand(9, 9, 9)
gridToVTK('./output', x, y, z, cellData={'data': data})Verify before relying
- Whether the package handles large simulation datasets efficiently as claimed in design guidelines
- Current state of documentation beyond the README and examples directory
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagenumpy |
| Maintenance | Actively maintained 78 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 240,873 / month, #8,895 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: pyevtk-1.7.0-py3-none-any.whl
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