# enthought/mayavi

3D visualization of scientific data in Python

Repository: https://github.com/enthought/mayavi
Canonical: https://ross.abutalabs.com/products/mayavi
Homepage: http://docs.enthought.com/mayavi/mayavi/
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-08-20T15:33:48+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 64, longevity 100
- inputs: {"age_days": 5700, "days_push": 13, "days_rel": 29, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1407, forks 316 (observed 2026-08-28T04:04:38.383316+00:00)

## What it is
Mayavi is a Python library and application for interactive 2D and 3D scientific data visualization, built on top of the VTK toolkit. It offers both a rich GUI application and a simple scripting interface (mlab) for plotting scalar, vector, and tensor data.

## Use cases
- visualize 3d scientific data in python
- plot volumetric scalar and vector fields
- replace matlab 3d plotting with numpy-based scripts
- embed a 3d visualization engine in a python application
- render vtk datasets and export images
- interactively explore simulation or medical imaging data

## When to choose
- you need interactive 3D visualization of numpy or VTK data in Python
- you want Matlab-like 3D plotting via a simple mlab API
- you need an embeddable visualization engine or GUI application with pipeline editing

## When to avoid
- you only need lightweight 2D plots (use matplotlib)
- you want web-based or notebook-first 3D rendering (consider pyvista/plotly)
- you cannot install heavy dependencies like VTK and a Qt/wx GUI toolkit

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, gui, image-processing
- domain: data-visualization, data-science, graphics
- platform: python, cross-platform, windows
- tags: vtk, 3d-plotting, mlab, scientific-plotting, enthought-tool-suite, numpy, scientific-computing, linux, macos

## Member repositories
- enthought/mayavi (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:38.383316+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:38:38.543565+00:00, confidence not recorded.
  - readme: https://github.com/enthought/mayavi (fetched 2026-08-28T04:04:38.383316+00:00, sha faf5188bd6e3)
  - homepage: http://docs.enthought.com/mayavi/mayavi/ (fetched 2026-08-29T11:52:25.986091+00:00, sha c4f8a634f073)
  - site_page: http://docs.enthought.com/mayavi/mayavi/installation.html (fetched 2026-08-29T11:52:25.995738+00:00, sha abc374bae0b5)
  - site_page: http://docs.enthought.com/mayavi/mayavi/misc.html (fetched 2026-08-29T11:52:25.998583+00:00, sha 8cabcca04c5a)
  - site_page: http://docs.enthought.com/mayavi/mayavi/changes.html (fetched 2026-08-29T11:52:26.002633+00:00, sha 357002854c0d)
  - registry_pypi: https://pypi.org/pypi/mayavi/json (fetched 2026-08-29T11:52:26.006931+00:00, sha 1ee06870dc64)
- Data as of 2026-08-30T08:39:29.467469+00:00.