{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-wandb--openui","slug":"wandb--openui","name":"openui","type":"webapp","url":"https://openui.fly.dev","page_url":"https://unfragile.ai/wandb--openui","categories":["app-builders"],"tags":["ai","generative-ai","html-css-javascript","tailwindcss"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-wandb--openui__cap_0","uri":"capability://code.generation.editing.natural.language.to.html.component.generation","name":"natural-language-to-html-component-generation","description":"Translates plain English descriptions into rendered HTML/CSS components by routing prompts through a FastAPI backend that orchestrates requests to multiple LLM providers (OpenAI, Ollama, Anthropic). The system maintains a session-based conversation history stored in Peewee ORM, allowing iterative refinement of generated components. Generated HTML is immediately rendered in an iframe-isolated preview, enabling real-time visual feedback without XSS risk.","intents":["I want to describe a button component and see it rendered instantly without writing HTML","I need to iterate on a UI design by describing changes in natural language","I want to generate a complex form layout just by describing what fields I need"],"best_for":["rapid UI prototypers building MVPs","designers without HTML/CSS expertise","developers wanting to accelerate component discovery"],"limitations":["LLM generation quality depends on prompt clarity and model capability — vague descriptions produce inconsistent output","No built-in accessibility validation — generated components may lack ARIA attributes or semantic HTML","Iframe isolation prevents component interaction with parent page context","Session history stored in localStorage only — no server-side persistence without explicit save"],"requires":["API key for OpenAI (gpt-4/gpt-3.5-turbo) or Ollama instance running locally","FastAPI backend running (Python 3.9+)","React 18.3.1+ frontend with Vite build system","Modern browser with iframe support"],"input_types":["text (natural language prompt)","image (optional reference screenshot via file upload)","structured metadata (framework preference, styling constraints)"],"output_types":["HTML string with inline Tailwind CSS","React JSX (transpiled from HTML)","Svelte component syntax","Vue template syntax","Web Components (custom elements)"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_1","uri":"capability://code.generation.editing.multi.framework.code.transpilation","name":"multi-framework-code-transpilation","description":"Converts generated HTML components into multiple frontend framework syntaxes (React, Svelte, Vue, Web Components) through a backend transpilation pipeline. The system parses the raw HTML output from the LLM, applies framework-specific transformations (JSX conversion, reactive binding syntax, component lifecycle hooks), and outputs framework-ready code. Tailwind CSS classes are preserved across all transpilation targets to maintain styling consistency.","intents":["I generated HTML but need it as a React component for my Next.js project","I want the same component in both Vue and Svelte without rewriting it","I need Web Components output for framework-agnostic reusability"],"best_for":["teams using multiple frontend frameworks in the same codebase","developers building design system components for distribution","organizations migrating between frameworks"],"limitations":["Transpilation assumes stateless components — complex state management patterns require manual refactoring","Event handler syntax varies by framework; generated handlers may need binding adjustments in Vue/Svelte","CSS-in-JS libraries (styled-components, Emotion) not supported — output is Tailwind-only","No automatic prop extraction — developers must manually define component interfaces"],"requires":["Generated HTML output from LLM pipeline","Backend transpiler module (part of FastAPI server)","Target framework installed in consuming project (React 18+, Vue 3+, Svelte 4+, or browser with Web Components support)"],"input_types":["HTML string with Tailwind CSS classes","framework selection parameter (react|svelte|vue|webcomponent)"],"output_types":["JSX syntax (React)","Svelte template syntax","Vue Single File Component (SFC) template","Custom element class definition (Web Components)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_10","uri":"capability://text.generation.language.internationalization.and.localization.support","name":"internationalization-and-localization-support","description":"Supports multiple languages in the UI through i18n configuration (likely using react-i18next or similar), with language selection in settings. The frontend loads language-specific strings from JSON files, allowing users to interact with OpenUI in their preferred language. Backend API responses (error messages, validation feedback) are also localized. Component generation prompts can be submitted in any language, and the LLM is instructed to generate HTML with language-neutral content (or language-specific content if specified).","intents":["I want to use OpenUI in Spanish/French/Japanese instead of English","I need to generate components with text in my native language","I want to contribute translations for my language community"],"best_for":["international teams using OpenUI","non-English speaking designers and developers","organizations expanding to global markets"],"limitations":["LLM generation quality varies by language — English models perform better than non-English","Translation maintenance burden — new features require translation updates","Right-to-left (RTL) languages require CSS adjustments — not automatically handled","Generated component text is English-only unless explicitly specified in prompt","No automatic language detection — users must manually select language"],"requires":["i18n library (react-i18next or equivalent)","Language JSON files for each supported language","Backend localization middleware","LLM prompt templates supporting multi-language input"],"input_types":["language selection (en|es|fr|ja|etc.)","prompt in any language","component text (optional)"],"output_types":["localized UI strings","generated HTML (language-neutral or specified language)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_11","uri":"capability://tool.use.integration.oauth.based.authentication.and.session.management","name":"oauth-based-authentication-and-session-management","description":"Implements OAuth 2.0 authentication using fastapi-sso library to support login via Google, GitHub, or other OAuth providers. Users authenticate once and receive a session token stored in HTTP-only cookies. The backend validates tokens on each request and associates generated components with authenticated users. Session data (history, preferences, shared components) is scoped to the authenticated user. Unauthenticated users can still use OpenUI but their history is stored in localStorage only and not persisted server-side.","intents":["I want to log in with my Google account instead of creating a new password","I need my component history to persist across devices","I want to share components with specific team members who have accounts"],"best_for":["teams using OpenUI with shared component libraries","organizations with OAuth infrastructure (Google Workspace, GitHub Enterprise)","developers wanting persistent cross-device history"],"limitations":["OAuth setup requires provider configuration (Google OAuth app, GitHub OAuth app) — adds deployment complexity","HTTP-only cookies vulnerable to CSRF attacks — requires CSRF token middleware","Session tokens expire — users must re-authenticate periodically","No built-in role-based access control (RBAC) — all authenticated users have equal permissions","Unauthenticated users have limited functionality (no server-side history)"],"requires":["fastapi-sso (0.10.0+) library","OAuth provider configuration (Google, GitHub, etc.)","Session middleware in FastAPI (e.g., starlette.middleware.sessions)","CSRF token middleware","Database table for user profiles and sessions"],"input_types":["OAuth provider selection","OAuth authorization code (from provider redirect)"],"output_types":["session token (HTTP-only cookie)","user profile (name, email, avatar)","authenticated API requests"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_12","uri":"capability://image.visual.real.time.component.preview.with.iframe.sandboxing","name":"real-time-component-preview-with-iframe-sandboxing","description":"Renders generated HTML components in an isolated iframe sandbox to prevent XSS attacks and style conflicts with the main application. The iframe is configured with restrictive sandbox attributes (no-scripts, no-same-origin) and communicates with the parent page via postMessage API for safe data exchange. Component styles are scoped to the iframe context, preventing CSS from leaking into the main page. The preview updates in real-time as users edit code or request new generations.","intents":["I want to see how the generated component looks without worrying about XSS attacks","I need to preview a component without its styles affecting the rest of the page","I want to test interactive components (buttons, forms) in isolation"],"best_for":["developers working with untrusted LLM-generated code","teams with security requirements","designers previewing components without style conflicts"],"limitations":["Iframe sandboxing prevents component interaction with parent page — no cross-origin communication","postMessage communication adds ~50-100ms latency per message","Sandbox restrictions may break components requiring external scripts or resources","Iframe preview cannot access localStorage or cookies from parent page","Component size limited by iframe viewport — responsive design testing requires manual resizing"],"requires":["iframe element with sandbox attribute","postMessage API for parent-child communication","React component wrapper for iframe management","HTML sanitization library (optional, for additional security)"],"input_types":["generated HTML code","CSS styles (Tailwind classes)","component metadata"],"output_types":["rendered component (iframe)","inspection data (via postMessage)"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_13","uri":"capability://code.generation.editing.tailwind.css.class.validation.and.autocomplete","name":"tailwind-css-class-validation-and-autocomplete","description":"Provides real-time validation and autocomplete for Tailwind CSS classes in the Monaco Editor, checking that classes are valid and suggesting alternatives for typos. The system maintains a bundled list of Tailwind CSS classes (from the installed version) and validates generated HTML against this list. Autocomplete suggestions appear as users type, with class descriptions and preview of the applied style. Invalid classes are highlighted in the editor with warnings.","intents":["I want to autocomplete Tailwind classes while editing generated code","I need to validate that the generated component uses only valid Tailwind classes","I want to see what a Tailwind class does before applying it"],"best_for":["developers editing Tailwind-based components","teams enforcing Tailwind CSS consistency","designers learning Tailwind class names"],"limitations":["Autocomplete class list must be manually updated when Tailwind version changes","Custom Tailwind configuration (custom colors, plugins) not reflected in autocomplete","Autocomplete suggestions may be overwhelming for beginners — no filtering by category","Class validation is syntax-only — doesn't check if classes make semantic sense together","Preview of applied style is static — doesn't show interactive states (hover, focus)"],"requires":["Tailwind CSS class definitions (bundled JSON or generated from tailwind.config.js)","Monaco Editor integration with custom language provider","Autocomplete provider implementation (Monaco CompletionItemProvider)"],"input_types":["partial class name (e.g., 'bg-' for autocomplete)","full HTML code for validation"],"output_types":["autocomplete suggestions (array of class names)","validation errors (invalid classes)","class preview (style description)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_2","uri":"capability://image.visual.visual.component.annotation.and.inspection","name":"visual-component-annotation-and-inspection","description":"Provides an interactive HTML Annotator component that overlays visual markers on generated UI elements within an iframe-isolated preview. Users can click elements to inspect computed styles, DOM structure, and Tailwind CSS classes applied. The annotator communicates with the iframe via postMessage API to avoid XSS vulnerabilities while enabling real-time inspection of component properties without breaking encapsulation.","intents":["I need to verify that the generated button has the correct padding and color classes","I want to inspect which Tailwind classes are applied to each element","I need to debug why a component doesn't match my description"],"best_for":["designers validating generated component styling","developers debugging LLM output quality","QA teams verifying component specifications"],"limitations":["Inspection limited to static properties — cannot inspect runtime state or event handlers","postMessage communication adds ~50-100ms latency per inspection query","Annotations only work within iframe context — cannot inspect components in parent page","No persistent annotation storage — annotations are session-only"],"requires":["Generated HTML component rendered in iframe","React component with Monaco Editor integration","Browser support for postMessage API and iframe sandboxing"],"input_types":["rendered HTML element reference","inspection query (style|classes|structure)"],"output_types":["computed CSS properties (object)","Tailwind class list (array)","DOM tree structure (JSON)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_3","uri":"capability://image.visual.image.reference.guided.component.generation","name":"image-reference-guided-component-generation","description":"Accepts uploaded reference images or screenshots as context for component generation, allowing users to describe UI components while providing visual examples. The backend processes uploaded images (via multipart form data), stores them temporarily, and includes image metadata in the LLM prompt context. The system uses vision-capable LLM models (GPT-4V, Claude 3 Vision) to analyze reference images and generate components that match the visual style and layout patterns shown in the reference.","intents":["I have a screenshot of a design I like and want to generate a similar component","I want to describe a component and show a reference image to ensure the LLM understands my intent","I need to recreate a component from a competitor's app based on a screenshot"],"best_for":["designers working from visual mockups","developers recreating components from design files or competitor apps","teams with non-technical stakeholders providing visual references"],"limitations":["Image processing adds 2-5 seconds latency per generation","Vision model quality varies — complex layouts may be misinterpreted","Temporary image storage not encrypted — sensitive screenshots should not be uploaded","File size limit typically 20MB per image; large screenshots must be cropped","Vision models may hallucinate details not present in reference image"],"requires":["Vision-capable LLM API (GPT-4V, Claude 3 Vision, or equivalent)","File upload handler in FastAPI backend with multipart/form-data support","Temporary file storage (local filesystem or S3 bucket)","Browser File API support for client-side image selection"],"input_types":["image file (PNG, JPG, WebP, max 20MB)","natural language description (optional)","component type hint (button|form|card|etc.)"],"output_types":["HTML with Tailwind CSS","component metadata (detected colors, layout type, complexity score)"],"categories":["image-visual","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_4","uri":"capability://memory.knowledge.session.based.conversation.history.management","name":"session-based-conversation-history-management","description":"Maintains a persistent conversation history for each user session using Peewee ORM with SQLite/PostgreSQL backend, storing prompts, generated code, and metadata (timestamps, model used, framework selected). The frontend uses Jotai state management to sync local component state with server-side session storage, enabling users to revisit previous generations, compare versions, and continue iterating on components across browser sessions. Version history is tracked with localStorage fallback for offline access.","intents":["I want to see all the components I generated in the past hour and pick the best one","I need to compare two different versions of a button component I generated","I closed my browser and want to resume working on the component I was building"],"best_for":["designers iterating on multiple component variations","teams collaborating on component libraries","developers building design systems with version tracking"],"limitations":["localStorage-only mode limited to ~5-10MB per browser — large component libraries will exceed quota","Server-side session storage requires database connection — offline mode falls back to localStorage only","No built-in session sharing — history is per-user and not collaborative","Session cleanup not automated — old sessions accumulate in database over time","No encryption for stored prompts — sensitive component descriptions are stored in plaintext"],"requires":["FastAPI backend with Peewee ORM configured","SQLite or PostgreSQL database","Jotai state management library (React)","User authentication/session middleware (fastapi-sso or equivalent)"],"input_types":["prompt text","generated HTML code","framework selection","reference image (optional)"],"output_types":["session history (array of generation records)","version comparison (diff view)","export format (JSON, CSV)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_5","uri":"capability://tool.use.integration.component.sharing.via.s3.storage","name":"component-sharing-via-s3-storage","description":"Enables users to export and share generated components by uploading them to S3 storage (via boto3 client) with signed URLs for public access. The backend generates unique component IDs, serializes the HTML/CSS/metadata as JSON, uploads to S3, and returns a shareable link. Recipients can import shared components by providing the S3 URL, which the frontend fetches and renders in the preview pane. Metadata includes component description, framework variants, and generation timestamp.","intents":["I want to share a component I generated with my team without sending code snippets","I need to create a public library of components that others can import and customize","I want to embed a generated component in a design system documentation site"],"best_for":["teams building shared component libraries","design system maintainers distributing components","open-source projects sharing UI patterns"],"limitations":["S3 storage requires AWS credentials and bucket configuration — adds infrastructure dependency","Signed URLs expire after configured TTL (default 1 hour) — long-term sharing requires permanent public URLs","No access control — anyone with a share link can view/download the component","S3 upload latency adds 1-3 seconds per share operation","No versioning — overwriting a shared component breaks existing links"],"requires":["AWS S3 bucket configured with public read access","boto3 library with AWS credentials (access key + secret)","FastAPI endpoint for S3 upload/download orchestration","CORS configuration on S3 bucket for cross-origin requests"],"input_types":["generated HTML component","component metadata (name, description, tags)","framework variants (React, Vue, Svelte)"],"output_types":["S3 signed URL (shareable link)","component JSON (importable format)","embed code (iframe snippet)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_6","uri":"capability://tool.use.integration.multi.provider.llm.orchestration","name":"multi-provider-llm-orchestration","description":"Abstracts LLM provider differences through a FastAPI backend that routes requests to OpenAI, Anthropic, or local Ollama instances based on configuration. The system maintains provider-specific prompt templates, handles authentication (API keys), manages rate limiting per provider, and implements fallback logic (e.g., if OpenAI fails, retry with Ollama). Each provider integration includes response parsing to extract HTML from model outputs, with provider-specific error handling and retry strategies.","intents":["I want to use GPT-4 for high-quality components but fall back to Ollama when API quota is exceeded","I need to compare component generation quality across different LLM models","I want to run OpenUI offline using a local Ollama instance without cloud dependencies"],"best_for":["teams with multiple LLM subscriptions wanting to optimize cost","organizations with offline/air-gapped requirements","developers benchmarking LLM quality for UI generation"],"limitations":["Provider-specific prompt engineering required — optimal prompts differ between GPT-4, Claude, and Ollama","Response parsing fragile — model output format changes break HTML extraction","Rate limiting per provider not coordinated — hitting one provider's limit doesn't automatically switch to another","Fallback logic adds latency (retry delay ~2-5 seconds per failed attempt)","Local Ollama requires significant compute resources (8GB+ RAM for quality models)"],"requires":["API keys for OpenAI (gpt-4/gpt-3.5-turbo) and/or Anthropic (Claude 3)","Optional: Ollama running locally (ollama pull mistral or equivalent)","FastAPI backend with provider client libraries (openai, anthropic, ollama)","Environment variables for API key configuration"],"input_types":["natural language prompt","provider selection (openai|anthropic|ollama)","model name (gpt-4|claude-3-opus|mistral)","generation parameters (temperature, max_tokens)"],"output_types":["HTML string","provider metadata (model used, tokens consumed, latency)","fallback indicator (whether request was retried)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_7","uri":"capability://code.generation.editing.monaco.editor.integrated.code.editing","name":"monaco-editor-integrated-code-editing","description":"Embeds Monaco Editor (VS Code's editor engine) in the frontend to provide syntax-highlighted, editable code output with real-time preview updates. Users can manually edit generated HTML/CSS/JSX, and changes are immediately reflected in the iframe preview. The editor includes language detection (HTML, JSX, Vue, Svelte), autocomplete for Tailwind CSS classes, and keyboard shortcuts matching VS Code. Changes trigger a re-render of the preview without requiring a new LLM generation.","intents":["I want to tweak the generated HTML manually without regenerating from scratch","I need to add custom CSS or JavaScript that the LLM didn't generate","I want to see live preview updates as I edit the code"],"best_for":["developers comfortable with HTML/CSS who want to refine LLM output","designers learning to code by editing generated components","teams using OpenUI as a code editor, not just a generator"],"limitations":["Monaco Editor bundle size ~3MB — adds significant frontend payload","Autocomplete for Tailwind CSS requires bundled class definitions — may be outdated if Tailwind version changes","No built-in linting — invalid HTML/CSS is not caught until preview render","Manual edits are not persisted to session history — only LLM-generated versions are saved","Preview re-render latency ~200-500ms for large components"],"requires":["Monaco Editor library (0.49.0+)","Vite build system with loader for Monaco assets","React component wrapper for Monaco integration","Tailwind CSS class definitions for autocomplete"],"input_types":["generated HTML/CSS/JSX code","language selection (html|jsx|vue|svelte)"],"output_types":["edited code string","preview render (iframe)","syntax errors (if any)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_8","uri":"capability://automation.workflow.progressive.web.app.offline.capability","name":"progressive-web-app-offline-capability","description":"Implements PWA features (service worker, manifest, offline caching) using vite-plugin-pwa to enable OpenUI to function offline with cached components and generation history. The service worker caches frontend assets, API responses, and previously generated components, allowing users to browse history and edit existing components without network connectivity. When online, the app syncs new generations to the server and updates the cache. Offline mode falls back to localStorage for session data.","intents":["I want to work on UI components during a flight or in areas without internet","I need to access previously generated components even if the server is down","I want to install OpenUI as a native-like app on my phone"],"best_for":["remote teams with unreliable internet","designers working in offline environments","organizations with air-gapped networks"],"limitations":["Offline mode limited to previously cached components — cannot generate new components without LLM API","Service worker caching adds complexity to deployment — cache invalidation requires careful versioning","localStorage quota ~5-10MB — large component libraries exceed offline storage","Offline edits not synced until reconnection — potential data loss if browser cache is cleared","PWA installation not supported on all browsers (iOS Safari has limited support)"],"requires":["vite-plugin-pwa (0.20.5+) configured in Vite build","manifest.json with app metadata","Service worker registration in main.tsx","Browser support for Service Workers (Chrome, Firefox, Edge, Safari 16+)"],"input_types":["frontend assets (HTML, CSS, JS)","cached API responses (generated components)","session history (localStorage)"],"output_types":["offline-accessible UI","cached component list","sync queue (pending uploads)"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-wandb--openui__cap_9","uri":"capability://data.processing.analysis.evaluation.system.for.generation.quality","name":"evaluation-system-for-generation-quality","description":"Provides a backend evaluation framework that assesses generated component quality across multiple dimensions: HTML validity (W3C compliance), CSS correctness (Tailwind class validation), accessibility (WCAG compliance check), and visual fidelity (comparison to reference image if provided). The evaluation system runs automatically after generation and returns a quality score (0-100) with detailed feedback on issues. Results are stored in the database for analytics and model improvement.","intents":["I want to know if the generated component is accessible before using it","I need to validate that the HTML is W3C-compliant","I want to compare quality scores across different LLM models"],"best_for":["teams with accessibility requirements","organizations benchmarking LLM quality","developers validating generated code before production use"],"limitations":["Evaluation adds 1-2 seconds latency per generation","Accessibility checks are automated heuristics — may miss context-specific issues","Visual fidelity comparison requires reference image — not available for all generations","Quality score is relative — no absolute standard for 'good' component","Evaluation results not actionable — system provides feedback but no auto-fix"],"requires":["Backend evaluation module (part of FastAPI server)","HTML validator library (e.g., html5lib)","Tailwind CSS class validator","WCAG accessibility checker (e.g., axe-core)","Optional: image comparison library for visual fidelity"],"input_types":["generated HTML code","reference image (optional)","evaluation criteria (accessibility|validity|fidelity)"],"output_types":["quality score (0-100)","issue list (array of problems)","recommendations (suggested fixes)"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":35,"verified":false,"data_access_risk":"high","permissions":["API key for OpenAI (gpt-4/gpt-3.5-turbo) or Ollama instance running locally","FastAPI backend running (Python 3.9+)","React 18.3.1+ frontend with Vite build system","Modern browser with iframe support","Generated HTML output from LLM pipeline","Backend transpiler module (part of FastAPI server)","Target framework installed in consuming project (React 18+, Vue 3+, Svelte 4+, or browser with Web Components support)","i18n library (react-i18next or equivalent)","Language JSON files for each supported language","Backend localization middleware"],"failure_modes":["LLM generation quality depends on prompt clarity and model capability — vague descriptions produce inconsistent output","No built-in accessibility validation — generated components may lack ARIA attributes or semantic HTML","Iframe isolation prevents component interaction with parent page context","Session history stored in localStorage only — no server-side persistence without explicit save","Transpilation assumes stateless components — complex state management patterns require manual refactoring","Event handler syntax varies by framework; generated handlers may need binding adjustments in Vue/Svelte","CSS-in-JS libraries (styled-components, Emotion) not supported — output is Tailwind-only","No automatic prop extraction — developers must manually define component interfaces","LLM generation quality varies by language — English models perform better than non-English","Translation maintenance burden — new features require translation updates","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3891675026804396,"quality":0.35,"ecosystem":0.52,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T13:58:21.997Z","last_commit":"2026-02-11T13:38:56Z"},"community":{"stars":22266,"forks":2059,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=wandb--openui","compare_url":"https://unfragile.ai/compare?artifact=wandb--openui"}},"signature":"ZgufQzgxTdUiwfmmWaP37Bd3r2bqTL3oiLiPvGFR+2KurJcgzECFbmTZnFqWIyb25bRqhT5cz4Mirb8efLjPDg==","signedAt":"2026-06-23T02:14:15.773Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/wandb--openui","artifact":"https://unfragile.ai/wandb--openui","verify":"https://unfragile.ai/api/v1/verify?slug=wandb--openui","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}