# vispy/vispy

Main repository for Vispy

Repository: https://github.com/vispy/vispy
Canonical: https://ross.abutalabs.com/products/vispy
Homepage: http://vispy.org
Language: Python
License: NOASSERTION
License Family: other
Topics: hacktoberfest, python, opengl, visualization, closember
Last push: 2026-08-26T12:54:42+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 84, longevity 100
- inputs: {"age_days": 4913, "days_push": 7, "days_rel": 105, "gap_med": 22, "n_releases_24m": 6}
- 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 3584, forks 631 (observed 2026-08-28T04:08:11.063548+00:00)

## What it is
VisPy is a high-performance interactive 2D/3D data visualization library for Python that leverages GPU power through OpenGL to display very large datasets. It offers both a Pythonic low-level OpenGL interface (gloo) and higher-level plotting/scene APIs that integrate with Qt, GLFW, wx, and Jupyter notebook backends.

## Use cases
- plot millions of points interactively in python
- real-time streaming data visualization
- render 3d meshes and volume data on gpu
- build scientific gui applications with fast plotting widgets
- embed interactive plots in jupyter notebooks
- write custom glsl shaders from python
- fast interactive 3d model visualization

## When to choose
- you need GPU-accelerated rendering of very large datasets in Python
- you want interactive scientific plots that outperform matplotlib
- you need a NumPy-aware interface to OpenGL without writing raw GL calls
- you want visualizations in desktop GUIs or Jupyter notebooks

## When to avoid
- you only need simple static publication-quality plots
- your environment lacks a modern GPU or up-to-date graphics drivers
- you need a fully high-level API with no graphics knowledge - the scene/plot interfaces are still maturing
- you want a Vulkan/WebGPU-native stack today (consider Datoviz instead)

## Facets
- artifact type: library
- maturity: stable
- function: data-visualization, graphics, image-processing
- domain: data-visualization, data-science, graphics
- platform: python, cross-platform
- tags: opengl, gpu-rendering, scientific-plotting, 3d-visualization, numpy, qt, jupyter, webgl, scene-graph, glsl, scientific-visualization, gpu, desktop

## Member repositories
- vispy/vispy (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:11.063548+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 2026-08-29T18:33:56.065695+00:00, confidence not recorded.
  - readme: https://github.com/vispy/vispy (fetched 2026-08-28T04:08:11.063548+00:00, sha 3c19301e472b)
  - homepage: http://vispy.org (fetched 2026-08-29T09:27:27.897516+00:00, sha 6dab84d2a1f0)
  - site_page: https://vispy.org/installation.html (fetched 2026-08-29T09:27:27.908665+00:00, sha 5a6803d79325)
  - site_page: https://vispy.org/vispy.html (fetched 2026-08-29T09:27:27.906753+00:00, sha 79aba43e42c9)
- Data as of 2026-08-30T08:39:29.467469+00:00.