{
  "schemaVersion": "1.0.0",
  "title": "Proof of Use: AI project discovery catalogue",
  "edition": "First editorial collection",
  "evidenceCheckedDate": "2026-10-14",
  "dateMeaning": "Date official sources were checked, not a release date or a claim of recency.",
  "selectionStatement": "Twelve editorial selections chosen for concrete documented uses, accessible source code, traceable examples, and explainable setup and cost tradeoffs. This is not a live trending feed or a performance ranking.",
  "scopeNote": "Open-source code does not imply unrestricted model weights, zero operating cost, or a safe-to-run certification. Linked project content and licenses can change.",
  "testingStatement": "No listed repository was installed, executed or benchmarked for this edition. All entries are source-reviewed, not hands-on tested.",
  "categories": [
    {
      "id": "coding_agents",
      "label": "Coding & Agents",
      "count": 4
    },
    {
      "id": "music_audio",
      "label": "Music & Audio",
      "count": 4
    },
    {
      "id": "images_video",
      "label": "Images & Video",
      "count": 3
    },
    {
      "id": "3d",
      "label": "3D",
      "count": 1
    }
  ],
  "evidenceTypes": {
    "documentation_reviewed": "Official documentation and license sources inspected; claims not independently reproduced.",
    "creator_demo": "Examples or demonstrations supplied by project creators. Playback or interactive generation may not have been tested; see each note.",
    "official_examples": "Official tutorials, transcripts or example code. These document a workflow rather than prove its performance.",
    "independent_example": "An attributable example from someone outside the project; none included in this edition.",
    "hands_on_tested": "A workflow actually run with recorded setup and outcome; none included in this edition."
  },
  "setupDifficultyMethod": "Editorial estimates: moderate requires installation/model setup; advanced generally requires coding, GPU/dependency management or infrastructure configuration. No completion-time promise.",
  "commercialDisclosure": "No paid placement, affiliate ranking or sponsor endorsement is included in this collection.",
  "tools": [
    {
      "id": "aider",
      "name": "Aider",
      "category": "coding_agents",
      "description": "A terminal-based coding assistant that edits an existing repository with a chosen local or hosted language model and tracks changes in Git.",
      "useCases": [
        "Make a coordinated change across several source files, then review the Git diff.",
        "Create regression tests or update documentation alongside a focused bug fix."
      ],
      "repoUrl": "https://github.com/Aider-AI/aider",
      "docsUrl": "https://aider.chat/docs/install.html",
      "demo": {
        "url": "https://aider.chat/examples/",
        "label": "Official coding-session transcripts",
        "evidenceType": "official_examples",
        "note": "Maintainer-hosted transcripts show app creation, multi-file edits and debugging; historical examples, not our hands-on test."
      },
      "license": {
        "code": "Apache-2.0",
        "weights": "Agent software, not a model-weight release; model licenses and API terms are separate.",
        "caveat": "The code license does not grant rights to a selected model or hosted provider service.",
        "url": "https://github.com/Aider-AI/aider/blob/main/LICENSE.txt"
      },
      "pricing": {
        "summary": "No software license fee; hosted-model use is billed by the chosen provider. Local inference uses your own hardware.",
        "caveat": "Open-source code does not mean free cloud inference. Usage and context size affect API spend; local models still require compute and storage."
      },
      "platforms": [
        "macOS",
        "Linux",
        "Windows",
        "Terminal"
      ],
      "setupDifficulty": "moderate",
      "setupRequirements": [
        "Install Aider using its documented Python-based installer; an isolated environment is recommended.",
        "Open the project directory and configure a model-provider API key or a running local model endpoint such as Ollama.",
        "Use Git and the project's own test tools to review and verify changes."
      ],
      "limitations": [
        "Works with one Git repository at a time.",
        "Edit reliability depends on the model, context selection and edit format; changes still need review and tests.",
        "Local models need sufficient hardware and a correctly configured context window."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Aider repository",
          "url": "https://github.com/Aider-AI/aider",
          "note": "Project scope, Git integration and coding workflows.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual LICENSE.txt",
          "url": "https://github.com/Aider-AI/aider/blob/main/LICENSE.txt",
          "note": "Apache License, Version 2.0 inspected.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Installation",
          "url": "https://aider.chat/docs/install.html",
          "note": "Python installer and macOS/Linux/Windows paths.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Ollama connection guide",
          "url": "https://aider.chat/docs/llms/ollama.html",
          "note": "Local inference endpoint and context-window setup.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official transcripts",
          "url": "https://aider.chat/examples/",
          "note": "Creator-provided example evidence.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "FAQ",
          "url": "https://aider.chat/docs/faq.html",
          "note": "One-repository limitation.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "File editing problems",
          "url": "https://aider.chat/docs/troubleshooting/edit-errors.html",
          "note": "Model/context-related failure modes.",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Coding & Agents",
      "tags": [
        "coding",
        "terminal",
        "Git",
        "multi-file edits",
        "local models"
      ],
      "card": {
        "cost": "API usage or local compute",
        "setup": "Terminal + model connection"
      },
      "setup": {
        "summary": "Terminal + model connection",
        "requirements": [
          "Install Aider using its documented Python-based installer; an isolated environment is recommended.",
          "Open the project directory and configure a model-provider API key or a running local model endpoint such as Ollama.",
          "Use Git and the project's own test tools to review and verify changes."
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "official_examples",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "goose",
      "name": "Goose",
      "category": "coding_agents",
      "description": "An extensible desktop and command-line agent that can edit code, run development tools and use MCP integrations with a chosen model provider.",
      "useCases": [
        "Prototype a small browser app from a concrete specification.",
        "Generate browser tests with the official Playwright CLI skill workflow."
      ],
      "repoUrl": "https://github.com/aaif-goose/goose",
      "docsUrl": "https://goose-docs.ai/docs/quickstart/",
      "demo": {
        "url": "https://goose-docs.ai/docs/quickstart/",
        "label": "Official tic-tac-toe walkthrough",
        "evidenceType": "official_examples",
        "note": "The project walks through creating a browser game and enabling a browser extension; a tutorial, not an independently reproduced result."
      },
      "license": {
        "code": "Apache-2.0",
        "weights": "No model license is bundled with the agent's code license; selected weights or hosted services have their own terms.",
        "caveat": "Extensions, providers and models can introduce separate licenses and service terms. The former block/goose URL redirects to aaif-goose/goose.",
        "url": "https://github.com/aaif-goose/goose/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "No software license fee. Bring a supported model API account, supported subscription integration or local model runtime.",
        "caveat": "Provider billing and subscription limits vary. Local inference still consumes hardware resources; promotional credits are not a permanent free tier."
      },
      "platforms": [
        "macOS",
        "Linux",
        "Windows",
        "Desktop app",
        "CLI"
      ],
      "setupDifficulty": "moderate",
      "setupRequirements": [
        "Install the official desktop app or CLI and choose a working project directory.",
        "Configure a hosted provider or download and run a local tool-capable model, for example through Ollama or LM Studio.",
        "Optional browser-testing workflow needs the documented Playwright CLI skill and its dependencies."
      ],
      "limitations": [
        "Tool-using workflows require a model with working tool-calling support.",
        "Local model context size and hardware can limit reliability and speed.",
        "Review tool access and generated changes; enabled extensions can act on local files and connected services."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Canonical Goose repository",
          "url": "https://github.com/aaif-goose/goose",
          "note": "Current repository reached by redirect from block/goose; desktop/CLI scope.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual LICENSE",
          "url": "https://github.com/aaif-goose/goose/blob/main/LICENSE",
          "note": "Apache License, Version 2.0 inspected.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Installation",
          "url": "https://goose-docs.ai/docs/getting-started/installation/",
          "note": "Native platform installation paths.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official quickstart",
          "url": "https://goose-docs.ai/docs/quickstart/",
          "note": "Browser-game example and provider configuration.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Provider configuration",
          "url": "https://goose-docs.ai/docs/getting-started/providers/",
          "note": "Hosted and local providers; tool-calling prerequisite.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Playwright testing tutorial",
          "url": "https://goose-docs.ai/docs/tutorials/playwright-skill/",
          "note": "Concrete testing use case and additional setup.",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Coding & Agents",
      "tags": [
        "agent",
        "desktop",
        "CLI",
        "MCP",
        "browser testing"
      ],
      "card": {
        "cost": "API/subscription or local compute",
        "setup": "Desktop/CLI + model connection"
      },
      "setup": {
        "summary": "Desktop/CLI + model connection",
        "requirements": [
          "Install the official desktop app or CLI and choose a working project directory.",
          "Configure a hosted provider or download and run a local tool-capable model, for example through Ollama or LM Studio.",
          "Optional browser-testing workflow needs the documented Playwright CLI skill and its dependencies."
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "official_examples",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "cline",
      "name": "Cline",
      "category": "coding_agents",
      "description": "A coding agent for editors, the terminal and desktop that can modify files, run commands and use tools through configurable approval controls.",
      "useCases": [
        "Build and iterate on a small web feature while reviewing proposed file changes.",
        "Investigate a failing project, make a focused fix and run its test commands."
      ],
      "repoUrl": "https://github.com/cline/cline",
      "docsUrl": "https://docs.cline.bot/cline-overview",
      "demo": {
        "url": "https://docs.cline.bot/usage/ide",
        "label": "Official todo-app walkthrough",
        "evidenceType": "official_examples",
        "note": "Step-by-step IDE exercise covers a single-file app, Plan/Act modes and approval prompts; not our tested app."
      },
      "license": {
        "code": "Apache-2.0",
        "weights": "The agent's code license does not cover chosen model weights or provider access.",
        "caveat": "Commercial model access and enterprise services are separate from the repository's Apache-2.0 license.",
        "url": "https://github.com/cline/cline/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "Open-source agent code; use provider-billed API access, Cline usage credits, a ClinePass subscription or local inference.",
        "caveat": "Model access is not automatically free. Promotions and quotas change; local models require suitable hardware. No exact plan price is asserted here."
      },
      "platforms": [
        "VS Code and compatible editors",
        "JetBrains IDEs",
        "CLI",
        "macOS desktop",
        "Windows desktop (beta)"
      ],
      "setupDifficulty": "moderate",
      "setupRequirements": [
        "Install the editor extension or desktop app, open a workspace and configure a model provider.",
        "CLI installation requires Node.js 20 or later according to the current install guide.",
        "For local models, run a supported local server and select a model that fits available memory."
      ],
      "limitations": [
        "Broad auto-approval and YOLO mode can allow destructive commands and access outside the workspace.",
        "Model quality, context size and repeated tool calls affect results and cost.",
        "Desktop Windows support is marked beta; review and test generated changes."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Cline repository",
          "url": "https://github.com/cline/cline",
          "note": "Canonical project and CLI/IDE/desktop scope.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual LICENSE",
          "url": "https://github.com/cline/cline/blob/main/LICENSE",
          "note": "Apache License, Version 2.0 inspected.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Cline overview",
          "url": "https://docs.cline.bot/cline-overview",
          "note": "Capabilities and model-access options.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Installing Cline",
          "url": "https://docs.cline.bot/getting-started/installing-cline",
          "note": "Editor, desktop and CLI requirements.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official IDE tutorial",
          "url": "https://docs.cline.bot/usage/ide",
          "note": "Todo-app example and review workflow.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Local models",
          "url": "https://docs.cline.bot/running-models-locally/overview",
          "note": "Local runtimes and memory-dependent setup.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Usage-billing provider",
          "url": "https://docs.cline.bot/getting-started/cline-provider",
          "note": "Pay-as-you-go model access.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Auto Approve and YOLO Mode",
          "url": "https://docs.cline.bot/features/auto-approve",
          "note": "Approval configuration and destructive-action risks.",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Coding & Agents",
      "tags": [
        "coding",
        "IDE",
        "agent",
        "debugging",
        "local models"
      ],
      "card": {
        "cost": "API/subscription or local compute",
        "setup": "Editor/app + model connection"
      },
      "setup": {
        "summary": "Editor/app + model connection",
        "requirements": [
          "Install the editor extension or desktop app, open a workspace and configure a model provider.",
          "CLI installation requires Node.js 20 or later according to the current install guide.",
          "For local models, run a supported local server and select a model that fits available memory."
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "official_examples",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "openhands",
      "name": "OpenHands",
      "category": "coding_agents",
      "description": "A self-hostable agent workspace whose Agent Canvas connects coding agents and automation workflows to local, container, remote or cloud backends.",
      "useCases": [
        "Give an agent a bounded bug fix and ask for a regression test.",
        "Add tests or a small feature in an existing repository, then review the resulting changes."
      ],
      "repoUrl": "https://github.com/OpenHands/OpenHands",
      "docsUrl": "https://docs.openhands.dev/overview/introduction",
      "demo": {
        "url": "https://docs.openhands.dev/openhands/usage/get-started/tutorials",
        "label": "Official development-task examples",
        "evidenceType": "official_examples",
        "note": "Official prompts and expected workflows cover testing, bug fixes and feature work; these are examples rather than independently verified outcomes."
      },
      "license": {
        "code": "MIT (current Agent Canvas repository)",
        "weights": "No inference-model rights are supplied by this code license; selected models and providers have separate terms.",
        "caveat": "Current root LICENSE is MIT. Official docs classify OpenHands Cloud as commercial SaaS and Enterprise as commercial; do not apply the repository license to the whole product family or older releases.",
        "url": "https://github.com/OpenHands/OpenHands/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "Local open-source software is free; budget for model inference and your compute. Hosted and Enterprise offerings have separate pricing.",
        "caveat": "The Individual cloud tier still uses your model key or billed provider usage and has service limits. Enterprise pricing is custom; no universal per-task cost is implied."
      },
      "platforms": [
        "Browser-based Agent Canvas",
        "macOS",
        "Linux",
        "Windows",
        "Docker",
        "Remote or cloud backends"
      ],
      "setupDifficulty": "advanced",
      "setupRequirements": [
        "For a local non-container install, the current README requires Node.js 24 or later and uv.",
        "For the documented sandbox route, install Docker and explicitly choose the project directory the agent can access.",
        "Configure model access and the desired backend; internet-facing deployments need the self-hosting security guidance."
      ],
      "limitations": [
        "The non-sandbox local launcher gives the agent direct filesystem access.",
        "Sandboxing, orchestration and infrastructure configuration add operational work; separate workspaces avoid conflicting concurrent edits.",
        "Cloud and Enterprise features are not identical to the open-source local setup; human code review and tests remain necessary."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "OpenHands Agent Canvas repository",
          "url": "https://github.com/OpenHands/OpenHands",
          "note": "Current project boundaries, installation, runtime options and local-filesystem warning.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual LICENSE",
          "url": "https://github.com/OpenHands/OpenHands/blob/main/LICENSE",
          "note": "Current root MIT license inspected.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Documentation introduction",
          "url": "https://docs.openhands.dev/overview/introduction",
          "note": "Current documentation structure.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official tutorial library",
          "url": "https://docs.openhands.dev/openhands/usage/get-started/tutorials",
          "note": "Testing, bug-fix and feature examples.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Enterprise versus open source",
          "url": "https://docs.openhands.dev/enterprise/enterprise-vs-oss",
          "note": "Explicit open-source / commercial SaaS / commercial Enterprise distinction.",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official pricing",
          "url": "https://www.openhands.dev/pricing",
          "note": "Free local software, inference billing and custom Enterprise pricing.",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Coding & Agents",
      "tags": [
        "coding agent",
        "self-hosted",
        "containers",
        "testing",
        "automation"
      ],
      "card": {
        "cost": "Inference + hosting/compute",
        "setup": "Backend and workspace setup"
      },
      "setup": {
        "summary": "Backend and workspace setup",
        "requirements": [
          "For a local non-container install, the current README requires Node.js 24 or later and uv.",
          "For the documented sandbox route, install Docker and explicitly choose the project directory the agent can access.",
          "Configure model access and the desired backend; internet-facing deployments need the self-hosting security guidance."
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "official_examples",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "whisper",
      "name": "Whisper",
      "category": "music_audio",
      "description": "Transcribe speech in multiple languages or translate spoken audio into English with OpenAI’s locally runnable speech-recognition models.",
      "useCases": [
        "Create a reviewable transcript of your own interviews or podcasts",
        "Translate permitted non-English recordings into English text"
      ],
      "repoUrl": "https://github.com/openai/whisper",
      "docsUrl": "https://github.com/openai/whisper#setup",
      "demo": {
        "url": "https://github.com/openai/whisper/blob/main/notebooks/Multilingual_ASR.ipynb",
        "label": "Official multilingual ASR notebook",
        "evidenceType": "official_examples",
        "note": "Creator-supplied notebook linked from the README; example code, not an independently tested live service."
      },
      "license": {
        "code": "MIT",
        "weights": "MIT",
        "caveat": "The actual LICENSE is MIT, and the README explicitly applies it to both code and model weights. Keep required notices; a software license does not supply consent to process recordings.",
        "url": "https://github.com/openai/whisper/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "No license fee for local inference; you supply the computer or rented compute.",
        "caveat": "Storage, electricity and cloud GPU time are separate costs. A hosted transcription API is a separate service, not a free entitlement bundled with this repository."
      },
      "platforms": [
        "Linux",
        "macOS",
        "Windows",
        "Python API",
        "Command line"
      ],
      "setupDifficulty": "moderate",
      "setupRequirements": [
        "Python and PyTorch; README lists expected Python 3.8–3.11 compatibility",
        "FFmpeg; Rust may be needed if the tokenizer has no compatible wheel",
        "CPU execution is supported; GPU memory depends on model, with README estimates ranging from about 1 GB for tiny/base to 10 GB for large"
      ],
      "limitations": [
        "Can invent or repeat text; verify consequential transcripts against the recording",
        "Accuracy varies by language, accent and recording",
        "Translation targets English; the turbo model is not trained for translation",
        "The model card does not present the base package as real-time transcription out of the box"
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official README: setup, capabilities and code/weights license",
          "url": "https://github.com/openai/whisper",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual MIT LICENSE",
          "url": "https://github.com/openai/whisper/blob/main/LICENSE",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official model card: intended use and limitations",
          "url": "https://github.com/openai/whisper/blob/main/model-card.md",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official multilingual ASR example notebook",
          "url": "https://github.com/openai/whisper/blob/main/notebooks/Multilingual_ASR.ipynb",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Transcription implementation: CPU fallback",
          "url": "https://github.com/openai/whisper/blob/main/whisper/transcribe.py",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Music & Audio",
      "tags": [
        "transcription",
        "speech recognition",
        "translation",
        "local"
      ],
      "card": {
        "cost": "Local compute",
        "setup": "Python + FFmpeg"
      },
      "setup": {
        "summary": "Python + FFmpeg",
        "requirements": [
          "Python and PyTorch; README lists expected Python 3.8–3.11 compatibility",
          "FFmpeg; Rust may be needed if the tokenizer has no compatible wheel",
          "CPU execution is supported; GPU memory depends on model, with README estimates ranging from about 1 GB for tiny/base to 10 GB for large"
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "official_examples",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "audiocraft",
      "name": "AudioCraft / MusicGen",
      "category": "music_audio",
      "description": "Explore text- and melody-conditioned music generation with Meta’s AudioCraft research toolkit and MusicGen models.",
      "useCases": [
        "Sketch instrumental musical ideas for noncommercial experimentation",
        "Study how prompts and a permitted reference melody influence generated music"
      ],
      "repoUrl": "https://github.com/facebookresearch/audiocraft",
      "docsUrl": "https://github.com/facebookresearch/audiocraft/blob/main/docs/MUSICGEN.md",
      "demo": {
        "url": "https://ai.honu.io/papers/musicgen/",
        "label": "Hear the creators’ MusicGen samples",
        "evidenceType": "creator_demo",
        "note": "Official project sample page linked by the repository, including text-conditioned and stereo examples; curated examples are not an independent quality test."
      },
      "license": {
        "code": "MIT",
        "weights": "CC-BY-NC-4.0",
        "caveat": "Code and supplied model weights have different licenses. The noncommercial weights restriction means this is not an unrestricted commercial-generation option.",
        "url": "https://github.com/facebookresearch/audiocraft/blob/main/LICENSE_weights",
        "codeUrl": "https://github.com/facebookresearch/audiocraft/blob/main/LICENSE",
        "weightsUrl": "https://github.com/facebookresearch/audiocraft/blob/main/LICENSE_weights"
      },
      "pricing": {
        "summary": "No software fee for local use within license terms; GPU compute is your cost.",
        "caveat": "The official MusicGen guide calls for a GPU and at least 16 GB of memory for medium models. Smaller models or shorter clips may fit smaller GPUs; rented hardware and hosted demo availability are separate."
      },
      "platforms": [
        "Python / PyTorch",
        "GPU workstation",
        "Local Gradio interface",
        "Official browser demo"
      ],
      "setupDifficulty": "advanced",
      "setupRequirements": [
        "Repository installation instructions specify Python 3.9 and PyTorch 2.1.0",
        "FFmpeg is recommended; check the pinned dependency stack before choosing an environment",
        "Download model checkpoints; allow GPU memory and runtime for the chosen model and clip duration"
      ],
      "limitations": [
        "MusicGen does not generate realistic vocals",
        "English prompts are best supported; styles and cultures are represented unevenly",
        "Outputs can collapse to silence, and prompt experimentation may be necessary",
        "A research toolkit with noncommercial model weights needs additional review before downstream deployment"
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official AudioCraft README: setup and model scope",
          "url": "https://github.com/facebookresearch/audiocraft",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual code LICENSE: MIT",
          "url": "https://github.com/facebookresearch/audiocraft/blob/main/LICENSE",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual weights LICENSE: CC BY-NC 4.0",
          "url": "https://github.com/facebookresearch/audiocraft/blob/main/LICENSE_weights",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "MusicGen documentation: hardware and demos",
          "url": "https://github.com/facebookresearch/audiocraft/blob/main/docs/MUSICGEN.md",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "MusicGen model card: limitations",
          "url": "https://github.com/facebookresearch/audiocraft/blob/main/model_cards/MUSICGEN_MODEL_CARD.md",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Creators’ MusicGen sample page",
          "url": "https://ai.honu.io/papers/musicgen/",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Music & Audio",
      "tags": [
        "music generation",
        "MusicGen",
        "melody",
        "research",
        "noncommercial weights"
      ],
      "card": {
        "cost": "GPU compute; noncommercial weights",
        "setup": "Python + GPU setup"
      },
      "setup": {
        "summary": "Python + GPU setup",
        "requirements": [
          "Repository installation instructions specify Python 3.9 and PyTorch 2.1.0",
          "FFmpeg is recommended; check the pinned dependency stack before choosing an environment",
          "Download model checkpoints; allow GPU memory and runtime for the chosen model and clip duration"
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "creator_demo",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "chatterbox",
      "name": "Chatterbox",
      "category": "music_audio",
      "description": "Generate expressive speech from text with Resemble AI’s local text-to-speech family, including multilingual and reference-voice options.",
      "useCases": [
        "Prototype narration or spoken interfaces from your own scripts",
        "Create multilingual voice prototypes using a voice you have permission to use"
      ],
      "repoUrl": "https://github.com/resemble-ai/chatterbox",
      "docsUrl": "https://github.com/resemble-ai/chatterbox#installation",
      "demo": {
        "url": "https://resemble-ai.github.io/chatterbox_demopage/",
        "label": "Hear Resemble AI’s speech examples",
        "evidenceType": "creator_demo",
        "note": "Creator-curated expressive, voice-agent and multilingual samples; playback and model output were not independently tested."
      },
      "license": {
        "code": "MIT",
        "weights": "MIT, as declared in the official base and Turbo model cards",
        "caveat": "The actual GitHub LICENSE was inspected. The base weights repository declares MIT in its model card but contains no separate LICENSE file; verify any separately downloaded variant. Voice permission and other rights remain separate.",
        "url": "https://github.com/resemble-ai/chatterbox/blob/master/LICENSE",
        "weightsUrl": "https://huggingface.co/ResembleAI/chatterbox"
      },
      "pricing": {
        "summary": "No license fee for self-hosted use; local or rented inference compute is your cost.",
        "caveat": "Resemble’s hosted TTS service is a separate paid offering. No hosted rate, latency guarantee or universal minimum VRAM has been independently verified here."
      },
      "platforms": [
        "Linux (Debian tested upstream)",
        "macOS example (MPS / CPU)",
        "Python",
        "Local Gradio interface"
      ],
      "setupDifficulty": "moderate",
      "setupRequirements": [
        "Upstream reports testing with Python 3.11 on Debian 11; current package metadata requires Python 3.10 or later",
        "Install the PyTorch/audio dependency stack and download the selected model checkpoints",
        "CUDA examples and a Mac MPS/CPU example are provided; choose hardware for the exact variant and measure performance",
        "Reference-voice synthesis requires an audio clip you have rights and permission to use"
      ],
      "limitations": [
        "Language coverage and controls differ between English, multilingual and smaller variants",
        "Reference audio can affect accent and pacing; listen to output before publishing",
        "Generated audio includes the project’s PerTh watermark",
        "Creator performance claims and demo samples are not independent measurements"
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official README: variants, setup, tips and watermarking",
          "url": "https://github.com/resemble-ai/chatterbox",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual code LICENSE: MIT",
          "url": "https://github.com/resemble-ai/chatterbox/blob/master/LICENSE",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official base model card: MIT weights declaration",
          "url": "https://huggingface.co/ResembleAI/chatterbox",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official base model file listing",
          "url": "https://huggingface.co/ResembleAI/chatterbox/tree/main",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official Turbo model card: MIT weights declaration",
          "url": "https://huggingface.co/ResembleAI/chatterbox-turbo",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Current package requirements",
          "url": "https://github.com/resemble-ai/chatterbox/blob/master/pyproject.toml",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official Mac device example",
          "url": "https://github.com/resemble-ai/chatterbox/blob/master/example_for_mac.py",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Creator speech sample page",
          "url": "https://resemble-ai.github.io/chatterbox_demopage/",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Music & Audio",
      "tags": [
        "text to speech",
        "narration",
        "multilingual",
        "voice"
      ],
      "card": {
        "cost": "Local or rented compute",
        "setup": "Python + model download"
      },
      "setup": {
        "summary": "Python + model download",
        "requirements": [
          "Upstream reports testing with Python 3.11 on Debian 11; current package metadata requires Python 3.10 or later",
          "Install the PyTorch/audio dependency stack and download the selected model checkpoints",
          "CUDA examples and a Mac MPS/CPU example are provided; choose hardware for the exact variant and measure performance",
          "Reference-voice synthesis requires an audio clip you have rights and permission to use"
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "creator_demo",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "demucs",
      "name": "Demucs",
      "category": "music_audio",
      "description": "Separate a mixed music recording into vocals, drums, bass and other accompaniment with a locally runnable source-separation model.",
      "useCases": [
        "Isolate parts from your own recordings for practice and analysis",
        "Prepare vocal and instrumental stems for permitted remix or editing work"
      ],
      "repoUrl": "https://github.com/adefossez/demucs",
      "originalRepoUrl": "https://github.com/facebookresearch/demucs",
      "docsUrl": "https://github.com/adefossez/demucs#for-musicians",
      "demo": {
        "url": "https://ai.honu.io/papers/htdemucs/index.html",
        "label": "Compare the creators’ separated stems",
        "evidenceType": "creator_demo",
        "note": "Paper authors’ comparison samples, linked from the repository. Includes models beyond the standard downloadable package; no separation was run for this directory."
      },
      "license": {
        "code": "MIT",
        "weights": "Not separately specified in the inspected official HTDemucs weights repository",
        "caveat": "Both code repositories contain MIT LICENSE files. The current official HTDemucs model card and file list omit a weights license; do not automatically extend the code license to every checkpoint. Verify weights terms before deployment. Input music rights are separate.",
        "url": "https://github.com/adefossez/demucs/blob/main/LICENSE",
        "weightsUrl": "https://huggingface.co/adefossez/HTDemucs"
      },
      "pricing": {
        "summary": "No code license fee for local separation; you supply the compute.",
        "caveat": "CPU mode is available. The README estimates roughly 7 GB GPU memory for default arguments, with lower-memory settings available; actual requirements and time depend on the model and track."
      },
      "platforms": [
        "Linux",
        "macOS",
        "Windows",
        "Command line",
        "Python API"
      ],
      "setupDifficulty": "moderate",
      "setupRequirements": [
        "Current official continuation requires Python 3.10+ and PyTorch 2.1+",
        "Use the documented uv/uvx or pip workflow; model checkpoints download separately",
        "FFmpeg is recommended and needed for FLAC output or otherwise unsupported input formats",
        "Intel Macs have an upstream Python/PyTorch version caveat; consult current instructions"
      ],
      "maintenance": {
        "status": "limited_maintenance",
        "note": "Meta’s original repository was archived on 2025-01-01. Alexandre Défossez’s official continuation released v4.1.0 on 2026-07-11, but still warns of slow replies and no new features.",
        "successorUrl": "https://github.com/adefossez/demucs",
        "releaseNotesUrl": "https://github.com/adefossez/demucs/blob/main/docs/release.md"
      },
      "limitations": [
        "Separation can leave bleed or artifacts; experimental piano separation is specifically caveated",
        "Two-stem mode still performs full separation internally",
        "Some sparse paper models are not supplied in the standard release",
        "Archived original, limited-maintenance continuation and unclear standalone weights terms require extra diligence"
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Archived Meta original and official continuation pointer",
          "url": "https://github.com/facebookresearch/demucs",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official continuation: maintenance, setup and usage",
          "url": "https://github.com/adefossez/demucs",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual original code LICENSE: MIT",
          "url": "https://github.com/facebookresearch/demucs/blob/main/LICENSE",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Actual continuation code LICENSE: MIT",
          "url": "https://github.com/adefossez/demucs/blob/main/LICENSE",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Release notes: v4.1.0, July 11, 2026",
          "url": "https://github.com/adefossez/demucs/blob/main/docs/release.md",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official model card without separate license declaration",
          "url": "https://huggingface.co/adefossez/HTDemucs",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official model files and visible license-removal commit",
          "url": "https://huggingface.co/adefossez/HTDemucs/tree/main",
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Creators’ source-separation examples",
          "url": "https://ai.honu.io/papers/htdemucs/index.html",
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Music & Audio",
      "tags": [
        "stem separation",
        "vocals",
        "music editing",
        "local",
        "limited maintenance"
      ],
      "card": {
        "cost": "Local compute; check weights terms",
        "setup": "Python + audio dependencies"
      },
      "setup": {
        "summary": "Python + audio dependencies",
        "requirements": [
          "Current official continuation requires Python 3.10+ and PyTorch 2.1+",
          "Use the documented uv/uvx or pip workflow; model checkpoints download separately",
          "FFmpeg is recommended and needed for FLAC output or otherwise unsupported input formats",
          "Intel Macs have an upstream Python/PyTorch version caveat; consult current instructions"
        ]
      },
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "creator_demo",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "comfyui",
      "name": "ComfyUI",
      "category": "images_video",
      "tags": [
        "node editor",
        "image generation",
        "video",
        "inpainting",
        "local"
      ],
      "description": "A visual node editor for building repeatable AI image, video and other media workflows.",
      "useCases": [
        "Build a reusable image-generation workflow, then repaint selected areas with an inpainting model.",
        "Upscale a set of images with a saved workflow instead of rebuilding the processing steps each time."
      ],
      "repoUrl": "https://github.com/Comfy-Org/ComfyUI",
      "docsUrl": "https://docs.comfy.org/",
      "demo": {
        "url": "https://comfyanonymous.github.io/ComfyUI_examples/inpaint/",
        "label": "Creator inpainting examples",
        "evidenceType": "creator_demo",
        "note": "Official examples include output images with reusable workflow metadata. The workflow was not executed here."
      },
      "license": {
        "code": "GPL-3.0",
        "weights": "Varies by selected model",
        "caveat": "The application license does not grant rights to every checkpoint, custom node or generated output.",
        "url": "https://github.com/Comfy-Org/ComfyUI/blob/master/LICENSE"
      },
      "pricing": {
        "summary": "No core software license fee; local hardware costs apply.",
        "caveat": "Model downloads need storage and compatible compute. Optional Comfy Cloud and partner API nodes are paid services."
      },
      "platforms": [
        "Windows",
        "macOS",
        "Linux"
      ],
      "setupDifficulty": "moderate",
      "setup": {
        "summary": "Desktop installers exist for Windows and macOS; manual installation supports more hardware. Choose and download the models required by your workflow.",
        "hardware": "GPU/RAM needs depend on the exact model and workflow; do not assume that any workflow will fit a small GPU."
      },
      "limitations": [
        "Node graphs take practice, and custom nodes introduce separate dependency and code-trust risks.",
        "Workflow compatibility can change; model licenses and optional paid API costs need separate checks."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official repository and installation",
          "url": "https://github.com/Comfy-Org/ComfyUI",
          "claims": [
            "platforms",
            "workflow capabilities",
            "paid cloud/API options"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Core license",
          "url": "https://github.com/Comfy-Org/ComfyUI/blob/master/LICENSE",
          "claims": [
            "GPL-3.0"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official documentation",
          "url": "https://docs.comfy.org/",
          "claims": [
            "node workflow interface"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Creator inpainting examples",
          "url": "https://comfyanonymous.github.io/ComfyUI_examples/inpaint/",
          "claims": [
            "inpainting use case",
            "creator examples"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Creator upscaling examples",
          "url": "https://comfyanonymous.github.io/ComfyUI_examples/upscale_models/",
          "claims": [
            "upscaling use case"
          ],
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Images & Video",
      "card": {
        "cost": "Local compute; optional paid cloud/API",
        "setup": "Desktop app + model workflow"
      },
      "setupRequirements": [
        "Desktop installers exist for Windows and macOS; manual installation supports more hardware. Choose and download the models required by your workflow.",
        "GPU/RAM needs depend on the exact model and workflow; do not assume that any workflow will fit a small GPU."
      ],
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "creator_demo",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "diffusers",
      "name": "Diffusers",
      "category": "images_video",
      "tags": [
        "Python",
        "image generation",
        "video",
        "inpainting",
        "developer library"
      ],
      "description": "A Python library for wiring diffusion models into image, video and audio applications.",
      "useCases": [
        "Prototype a text-to-image feature in your own app with a selected model and repeatable parameters.",
        "Build a masked image-editing workflow that replaces selected regions and compares the results."
      ],
      "repoUrl": "https://github.com/huggingface/diffusers",
      "docsUrl": "https://huggingface.co/docs/diffusers/",
      "demo": {
        "url": "https://huggingface.co/docs/diffusers/en/using-diffusers/inpaint",
        "label": "Official inpainting walkthrough",
        "evidenceType": "official_examples",
        "note": "The documentation supplies code, input masks and generated example images. These are publisher examples, not our test results."
      },
      "license": {
        "code": "Apache-2.0",
        "weights": "Varies by checkpoint",
        "caveat": "Diffusers is a library, not a single permissively licensed model. Review the chosen model card and its terms.",
        "url": "https://github.com/huggingface/diffusers/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "No library license fee; compute is your responsibility.",
        "caveat": "Local GPU time, rented GPUs and any hosted inference endpoint can cost money. Some gated models require an account and accepted terms."
      },
      "platforms": [
        "Linux",
        "Windows",
        "macOS with supported PyTorch hardware"
      ],
      "setupDifficulty": "advanced",
      "setup": {
        "summary": "Requires Python, PyTorch, a compatible pipeline and downloaded model weights; this is a programming library rather than a turnkey editor.",
        "hardware": "GPU memory and accelerator support vary by model; offloading and quantization can reduce memory use with tradeoffs."
      },
      "limitations": [
        "You must choose compatible models, schedulers, adapters and hardware.",
        "Output quality, safety restrictions and commercial rights depend on the selected model; inpainting may also alter unmasked areas."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official repository",
          "url": "https://github.com/huggingface/diffusers",
          "claims": [
            "library purpose",
            "tasks"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Library license",
          "url": "https://github.com/huggingface/diffusers/blob/main/LICENSE",
          "claims": [
            "Apache-2.0"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official quickstart",
          "url": "https://huggingface.co/docs/diffusers/en/quicktour",
          "claims": [
            "model loading",
            "gated models",
            "optimization"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Installation guide",
          "url": "https://huggingface.co/docs/diffusers/en/installation",
          "claims": [
            "Python and PyTorch setup"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Inpainting examples",
          "url": "https://huggingface.co/docs/diffusers/en/using-diffusers/inpaint",
          "claims": [
            "masked editing",
            "examples",
            "unmasked-area caveat"
          ],
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Images & Video",
      "card": {
        "cost": "Local or rented compute",
        "setup": "Python + model pipeline"
      },
      "setupRequirements": [
        "Requires Python, PyTorch, a compatible pipeline and downloaded model weights; this is a programming library rather than a turnkey editor.",
        "GPU memory and accelerator support vary by model; offloading and quantization can reduce memory use with tradeoffs."
      ],
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "official_examples",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "sam-2",
      "name": "SAM 2",
      "category": "images_video",
      "tags": [
        "segmentation",
        "video masks",
        "computer vision",
        "image editing"
      ],
      "description": "A promptable segmentation model that produces object masks in images and tracks them through video.",
      "useCases": [
        "Create a moving-subject mask for a video-editing or annotation pipeline, then review and refine it.",
        "Mark a product in a photograph to get a starting mask for compositing or background editing."
      ],
      "repoUrl": "https://github.com/facebookresearch/sam2",
      "docsUrl": "https://github.com/facebookresearch/sam2#readme",
      "demo": {
        "url": "https://sam2.metademolab.com/demo",
        "label": "Meta creator demo",
        "evidenceType": "creator_demo",
        "note": "The repository links this official interactive demo; its page resolved, but interaction and inference were not tested."
      },
      "license": {
        "code": "Apache-2.0; BSD-3-Clause for the optional cc_torch component",
        "weights": "Apache-2.0 for the SAM 2 checkpoints",
        "caveat": "Demo fonts have separate SIL Open Font License terms; dataset terms are separate from model licensing.",
        "url": "https://github.com/facebookresearch/sam2/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "No model or core code license fee; local compute costs apply.",
        "caveat": "The documented installation targets a GPU machine. GPU rental, storage and serving infrastructure are separate expenses."
      },
      "platforms": [
        "Linux",
        "Windows via WSL recommended"
      ],
      "setupDifficulty": "advanced",
      "setup": {
        "summary": "The documented setup uses Python 3.10+, PyTorch 2.5.1+, matching TorchVision/CUDA, downloaded checkpoints and optional notebook dependencies.",
        "hardware": "The official setup targets CUDA GPUs; skipping the optional CUDA extension disables a mask-cleanup step."
      },
      "limitations": [
        "Produces masks rather than finished video edits; prompts and output review are still needed.",
        "Compatibility between checkpoint versions and installed code matters; hardware-specific speed claims are not guarantees for your machine."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official repository, examples and checkpoint terms",
          "url": "https://github.com/facebookresearch/sam2",
          "claims": [
            "image/video segmentation",
            "checkpoint license",
            "demo link"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Core license",
          "url": "https://github.com/facebookresearch/sam2/blob/main/LICENSE",
          "claims": [
            "Apache-2.0"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Optional component license",
          "url": "https://github.com/facebookresearch/sam2/blob/main/LICENSE_cctorch",
          "claims": [
            "BSD-3-Clause"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Installation requirements",
          "url": "https://github.com/facebookresearch/sam2/blob/main/INSTALL.md",
          "claims": [
            "Linux/WSL",
            "versions",
            "CUDA extension caveat"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official video example notebook",
          "url": "https://github.com/facebookresearch/sam2/blob/main/notebooks/video_predictor_example.ipynb",
          "claims": [
            "documented video workflow"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Official interactive demo",
          "url": "https://sam2.metademolab.com/demo",
          "claims": [
            "creator demo destination"
          ],
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "Images & Video",
      "card": {
        "cost": "Local or rented GPU compute",
        "setup": "Python + CUDA/checkpoints"
      },
      "setupRequirements": [
        "The documented setup uses Python 3.10+, PyTorch 2.5.1+, matching TorchVision/CUDA, downloaded checkpoints and optional notebook dependencies.",
        "The official setup targets CUDA GPUs; skipping the optional CUDA extension disables a mask-cleanup step."
      ],
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "creator_demo",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    },
    {
      "id": "nerfstudio",
      "name": "Nerfstudio",
      "category": "3d",
      "tags": [
        "3D reconstruction",
        "NeRF",
        "Gaussian splatting",
        "photogrammetry",
        "Python"
      ],
      "description": "A toolkit for turning overlapping photos or video into trainable 3D scene representations and rendered views.",
      "useCases": [
        "Capture an object from several angles, train a scene and render a smooth orbit video.",
        "Reconstruct a captured space for a new camera-path walkthrough or an exported Gaussian splat."
      ],
      "repoUrl": "https://github.com/nerfstudio-project/nerfstudio",
      "docsUrl": "https://docs.nerf.studio/",
      "demo": {
        "url": "https://docs.nerf.studio/quickstart/viewer_quickstart.html#legacy-viewer-tutorial-video",
        "label": "Creator capture-to-video tutorial",
        "evidenceType": "creator_demo",
        "note": "The official page embeds a tutorial using the legacy viewer. It explains that the current interface differs while the core workflow remains similar."
      },
      "license": {
        "code": "Apache-2.0",
        "weights": "No single bundled model license covers every method or dataset",
        "caveat": "Check any optional method, dependency, capture app and dataset separately; the root license is for Nerfstudio code.",
        "url": "https://github.com/nerfstudio-project/nerfstudio/blob/main/LICENSE"
      },
      "pricing": {
        "summary": "No core software license fee; GPU training and capture costs apply.",
        "caveat": "The documented default route needs NVIDIA/CUDA hardware. Rented compute, storage and optional capture apps can add costs."
      },
      "platforms": [
        "Linux",
        "Windows with documented build setup"
      ],
      "setupDifficulty": "advanced",
      "setup": {
        "summary": "Requires a Python/PyTorch/CUDA environment and GPU-related dependencies. Photo/video preprocessing also uses COLMAP and FFmpeg.",
        "hardware": "The Splatfacto docs estimate about 6 GB memory for the default model and 12 GB for the larger variant; scene and settings affect actual needs."
      },
      "limitations": [
        "Good overlapping, non-blurry captures matter; camera-pose estimation can be finicky.",
        "A radiance field or Gaussian splat is not automatically a clean editable mesh; the documented Splatfacto exporter does not provide mesh export."
      ],
      "evidenceCheckedDate": "2026-10-14",
      "testStatus": "not_tested",
      "sources": [
        {
          "title": "Official repository and prerequisites",
          "url": "https://github.com/nerfstudio-project/nerfstudio",
          "claims": [
            "toolkit purpose",
            "NVIDIA/CUDA"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Core license",
          "url": "https://github.com/nerfstudio-project/nerfstudio/blob/main/LICENSE",
          "claims": [
            "Apache-2.0"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Installation guide",
          "url": "https://docs.nerf.studio/quickstart/installation.html",
          "claims": [
            "platforms",
            "dependencies"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Custom capture guide",
          "url": "https://docs.nerf.studio/quickstart/custom_dataset.html",
          "claims": [
            "photos/video",
            "COLMAP/FFmpeg",
            "capture quality"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Creator viewer tutorial",
          "url": "https://docs.nerf.studio/quickstart/viewer_quickstart.html",
          "claims": [
            "camera paths",
            "rendered video",
            "legacy demo caveat"
          ],
          "evidenceCheckedDate": "2026-10-14"
        },
        {
          "title": "Splatfacto guide",
          "url": "https://docs.nerf.studio/nerfology/methods/splat.html",
          "claims": [
            "memory estimates",
            "splat export",
            "mesh limitation"
          ],
          "evidenceCheckedDate": "2026-10-14"
        }
      ],
      "categoryLabel": "3D",
      "card": {
        "cost": "GPU training + capture costs",
        "setup": "Python/CUDA + capture processing"
      },
      "setupRequirements": [
        "Requires a Python/PyTorch/CUDA environment and GPU-related dependencies. Photo/video preprocessing also uses COLMAP and FFmpeg.",
        "The Splatfacto docs estimate about 6 GB memory for the default model and 12 GB for the larger variant; scene and settings affect actual needs."
      ],
      "evidence": {
        "status": "documentation_reviewed",
        "demoType": "creator_demo",
        "independentlyTested": false,
        "note": "Official source documentation reviewed; no repository installed or executed."
      },
      "releaseDate": null,
      "releaseDateNote": "Not researched; the evidence check date does not indicate a recent release."
    }
  ]
}
