ParaView

{
  "alternatives": [
    "VisIt",
    "Tecplot",
    "Matlab"
  ],
  "artifacts": [
    {
      "app": [
        "ParaView-6.1.1.app"
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      "binary": [
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      "target": "$HOMEBREW_PREFIX/bin/paraview"
    },
    {
      "zap": [
        {
          "trash": [
            "~/.config/ParaView",
            "~/Library/Saved Application State/org.paraview.ParaView.savedState"
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  "auto_updates": null,
  "categories": [
    "3d",
    "data-visualization",
    "dev-tools"
  ],
  "deprecated": 0,
  "deprecation_reason": null,
  "desc": "Data analysis and visualization application",
  "disable_reason": null,
  "disabled": 0,
  "display_name": "ParaView",
  "enrichment_fetched_at": "2026-06-20T22:47:59+00:00",
  "first_seen": "2026-06-20T00:47:34+00:00",
  "full_token": "paraview",
  "github_default_branch": null,
  "github_last_commit_at": null,
  "github_readme_excerpt": null,
  "github_repo": null,
  "github_stars": null,
  "github_topics": [],
  "homepage": "https://www.paraview.org/",
  "homepage_og_description": "ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data.",
  "homepage_og_image": null,
  "homepage_title": "ParaView - Open-source, multi-platform data analysis and visualization application",
  "installs_30d": 376,
  "installs_365d": 3203,
  "installs_90d": 972,
  "last_seen": "2026-06-20T00:47:34+00:00",
  "llm_generated_at": "2026-06-20T23:04:46+00:00",
  "llm_model": "claude-haiku-4-5",
  "names": [
    "ParaView"
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  "one_liner": "Visualize and analyze large scientific datasets with 3D rendering and data exploration tools.",
  "rank_30d": 580,
  "rank_365d": 706,
  "rank_90d": 658,
  "raw_hash": "cb2bf1d44aeb820c",
  "ruby_source_path": "Casks/p/paraview.rb",
  "tap": "homebrew/cask",
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  "version": "6.1.1,MPI-OSX11.0-Python3.12",
  "why_use_this": "ParaView is open-source and excels at handling massive datasets that would overwhelm typical visualization software, making it ideal for researchers, engineers, and scientists working with complex simulation data. It scales from laptops to supercomputers and supports parallel processing, with a comprehensive GUI and Python scripting for automation."
}