# Kitware/ParaView

VTK-based Data Analysis and Visualization Application

Repository: https://github.com/Kitware/ParaView
Canonical: https://ross.abutalabs.com/products/paraview
Homepage: http://www.paraview.org
Language: C++
License: BSD-3-Clause
License Family: permissive
Last push: 2026-08-26T13:23:25+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 5969, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1689, forks 491 (observed 2026-08-28T04:05:22.375141+00:00)

## What it is
ParaView is an open-source, multi-platform data analysis and visualization application built on the Visualization Toolkit (VTK), with a Qt-based GUI and Python scripting. It scales from laptops to supercomputers, supports in situ analysis via Catalyst, web deployment via trame, and reads dozens of scientific file formats with over 200 filters.

## Use cases
- visualize large 3D scientific datasets
- post-process CFD simulation results
- render exascale data on supercomputers
- analyze OpenFOAM or EXODUS simulation output
- script batch visualization pipelines in Python
- run in situ analysis with ParaView Catalyst
- slice, contour, and volume-render mesh data
- build custom visualization applications on the ParaView framework

## When to choose
- you need to interactively explore very large 3D/scientific datasets
- you need readers for scientific simulation formats like VTK, EXODUS, OpenFOAM, or NetCDF
- you want HPC-scale parallel visualization or in situ processing
- you want scriptable, reproducible visualization pipelines
- you need a reusable framework to build domain-specific visualization apps

## When to avoid
- you only need simple 2D chart plotting of tabular data
- you need a lightweight tool with minimal installation footprint
- your focus is business intelligence dashboards rather than scientific data
- you need polished non-technical presentation graphics rather than data exploration

## Facets
- artifact type: application
- maturity: stable
- function: data-visualization, simulation, graphics, gui, cli, sdk, plugin-system, streaming
- domain: data-visualization, simulation, graphics, data-science, cross-platform
- platform: windows, cross-platform, python, cpp
- tags: vtk, scientific-visualization, hpc, in-situ, 3d-rendering, cfd, mesh-data, volume-rendering, batch-processing, qt, scientific-computing, linux, macos, desktop, web-server, gpu

## Member repositories
- Kitware/ParaView (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:22.375141+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 2026-08-30T03:38:39.968568+00:00, confidence not recorded.
  - readme: https://github.com/Kitware/ParaView (fetched 2026-08-28T04:05:22.375141+00:00, sha 7f1de471b19d)
  - homepage: http://www.paraview.org (fetched 2026-08-29T11:13:31.333824+00:00, sha 3d583f0a94c4)
  - site_page: https://www.paraview.org/about (fetched 2026-08-29T11:13:31.336161+00:00, sha 4840a7b9c749)
  - site_page: https://www.paraview.org/features (fetched 2026-08-29T11:13:31.337963+00:00, sha c9cdef6582ac)
- Data as of 2026-08-30T08:39:29.467469+00:00.