{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"pypi_pypi-nicegui","slug":"pypi-nicegui","name":"nicegui","type":"framework","url":"https://pypi.org/project/nicegui/","page_url":"https://unfragile.ai/pypi-nicegui","categories":["app-builders"],"tags":["gui","ui","web","interface","live"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"pypi_pypi-nicegui__cap_0","uri":"capability://text.generation.language.python.to.browser.declarative.ui.rendering.via.context.managers","name":"python-to-browser declarative ui rendering via context managers","description":"Renders web UIs directly from Python code using context manager syntax (with statements) that map to Vue 3 components. The framework translates Python object hierarchies into DOM trees, handles FastAPI HTTP serving and Socket.IO WebSocket transport, and automatically syncs state changes from Python to the browser without manual serialization. Uses Quasar material-design components as the underlying UI library with optional Tailwind CSS styling.","intents":["Build web dashboards and micro-apps without writing JavaScript or HTML","Create interactive tools for ML model tuning or robotics control using only Python","Rapidly prototype web UIs with live reload and real-time state synchronization"],"best_for":["Python developers building internal tools, dashboards, and IoT interfaces","ML engineers prototyping interactive model inspection tools","Teams avoiding JavaScript/frontend complexity for backend-heavy applications"],"limitations":["Browser rendering latency for complex UIs with 1000+ elements due to Vue reactivity overhead","No built-in client-side state persistence — requires explicit storage integration","Limited to Quasar component library; custom HTML/CSS requires escape hatches"],"requires":["Python 3.9+","FastAPI (bundled dependency)","Socket.IO client/server (bundled)","Modern web browser with WebSocket support"],"input_types":["Python objects (dataclasses, primitives)","Event handlers (Python callables)","CSS/Tailwind class strings"],"output_types":["HTML/DOM rendered in browser","WebSocket messages (JSON-serialized state updates)"],"categories":["text-generation-language","ui-framework"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_1","uri":"capability://memory.knowledge.bidirectional.real.time.data.binding.with.observable.collections","name":"bidirectional real-time data binding with observable collections","description":"Implements automatic two-way synchronization between Python objects and browser UI elements via Socket.IO WebSocket transport. Changes to Python variables trigger DOM updates; user input in the browser triggers Python event handlers. Supports observable collections (lists, dicts) that notify listeners when items are added/removed, enabling reactive UI patterns without manual refresh calls. Uses an event-listener registry (event_listener.py) to manage subscriptions and an outbox system (outbox.py) to batch and transmit updates.","intents":["Keep UI in sync with Python state without manual refresh() calls","Build forms where input changes immediately update backend calculations","Implement reactive lists/tables that update when data is added or removed in Python"],"best_for":["Applications with frequent state mutations (dashboards, control panels)","Real-time collaborative tools or live data displays","Developers unfamiliar with reactive programming patterns (Vue, React)"],"limitations":["WebSocket latency (typically 50-200ms) visible for rapid interactions","No built-in conflict resolution for concurrent edits from multiple clients","Observable collections add memory overhead for large datasets (10k+ items)"],"requires":["Socket.IO server running (included in NiceGUI)","WebSocket-capable browser","Python event loop (asyncio) for background task integration"],"input_types":["Python primitives (int, str, bool, float)","Python dataclasses and custom objects","Collections (list, dict) marked as observable"],"output_types":["DOM attribute updates (value, text, visibility)","Event callbacks (Python functions)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_10","uri":"capability://text.generation.language.static.asset.serving.and.css.javascript.customization","name":"static asset serving and css/javascript customization","description":"Serves static files (CSS, JavaScript, images) from the server filesystem via FastAPI. Supports custom CSS injection into the page template (index.html) and JavaScript execution in the browser context. Allows Tailwind CSS configuration and custom Quasar theme overrides. Assets are cached by the browser with appropriate HTTP headers.","intents":["Add custom CSS styling beyond Quasar defaults","Inject custom JavaScript for browser-level functionality","Serve images, fonts, and other static resources"],"best_for":["Applications requiring custom branding or styling","Teams with frontend expertise wanting to extend NiceGUI","Projects needing third-party JavaScript libraries"],"limitations":["Custom CSS may conflict with Quasar styles — requires careful specificity management","Custom JavaScript runs in the global scope — risk of naming collisions","Static file serving is not optimized for CDN distribution"],"requires":["Static file directory on server","CSS or JavaScript files","Custom index.html template (optional)"],"input_types":["CSS files","JavaScript files","Image/font files"],"output_types":["Served files with correct MIME types","Injected styles/scripts in browser"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_11","uri":"capability://tool.use.integration.remote.access.and.tunneling.via.air.protocol","name":"remote access and tunneling via air protocol","description":"Provides Air (air.py), a protocol for exposing NiceGUI applications to the internet without manual port forwarding or firewall configuration. Uses a relay server to tunnel WebSocket and HTTP traffic, enabling secure remote access. Supports automatic HTTPS and custom domain binding. Useful for accessing applications from mobile devices or sharing with remote users.","intents":["Access local NiceGUI apps from remote devices or networks","Share dashboards with team members without VPN setup","Deploy applications without managing DNS or SSL certificates"],"best_for":["Development teams needing quick remote access","IoT and robotics applications requiring mobile access","Temporary deployments or demos"],"limitations":["Relay server introduces additional latency (100-500ms)","Relay server availability is a single point of failure","No built-in rate limiting or DDoS protection on relay","Requires internet connectivity on both client and server"],"requires":["Air relay server (hosted by Zauberzeug or self-hosted)","Internet connectivity","NiceGUI application running locally"],"input_types":["NiceGUI application instance","Optional custom domain"],"output_types":["Public URL for remote access","Tunneled WebSocket and HTTP traffic"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_12","uri":"capability://automation.workflow.native.desktop.application.packaging.with.electron","name":"native desktop application packaging with electron","description":"Packages NiceGUI applications as standalone desktop executables using Electron, allowing distribution as .exe, .dmg, or .deb files. The Python backend runs as a subprocess, and Electron embeds a Chromium browser window. Supports system tray integration, native file dialogs, and OS-level notifications. Enables offline-first applications with local data storage.","intents":["Distribute NiceGUI apps as native desktop applications","Build offline-capable tools that work without internet","Create system tray applications for background tasks"],"best_for":["Desktop tool developers wanting Python backend with native UI","Teams building cross-platform applications (Windows, macOS, Linux)","Applications requiring offline functionality or system integration"],"limitations":["Executable size is large (200-500MB) due to bundled Python and Chromium","Startup time is slower than native applications (2-5 seconds)","System tray integration is limited to basic icon and menu","Requires separate build process for each OS target"],"requires":["Electron (bundled or installed)","Python runtime (bundled in executable)","Node.js for build process","OS-specific build tools (MSVC for Windows, Xcode for macOS)"],"input_types":["NiceGUI application code","Electron configuration"],"output_types":["Native executable (.exe, .dmg, .deb)","System tray application"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_13","uri":"capability://automation.workflow.docker.containerization.with.pre.configured.images","name":"docker containerization with pre-configured images","description":"Provides official Docker images with Python, NiceGUI, and all dependencies pre-installed. Developers can containerize applications with minimal Dockerfile configuration. Supports multi-stage builds for optimized image size. Images are available on Docker Hub and can be extended with custom dependencies.","intents":["Deploy NiceGUI applications to cloud platforms (AWS, GCP, Azure)","Ensure consistent runtime environment across development and production","Simplify CI/CD pipelines with pre-built images"],"best_for":["Teams using Kubernetes or Docker Compose for orchestration","Cloud-native deployments on AWS ECS, Google Cloud Run, or Azure Container Instances","Development teams wanting reproducible environments"],"limitations":["Docker image size is large (500MB+) due to Python and dependencies","Container startup time is slower than native applications (5-10 seconds)","Requires Docker runtime on deployment platform"],"requires":["Docker installed locally","Docker Hub account (optional, for pushing images)","Dockerfile or docker-compose.yml"],"input_types":["NiceGUI application code","requirements.txt or pyproject.toml"],"output_types":["Docker image (OCI format)","Running container with exposed port"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_14","uri":"capability://text.generation.language.responsive.layout.system.with.grid.and.flex.containers","name":"responsive layout system with grid and flex containers","description":"Provides layout elements (rows, columns, cards, dialogs) that use CSS Flexbox and CSS Grid under the hood. Supports responsive breakpoints (mobile, tablet, desktop) via Tailwind CSS media queries. Layouts automatically adapt to screen size without manual media query code. Uses Quasar's row/column components for semantic HTML structure.","intents":["Build responsive UIs that work on mobile, tablet, and desktop","Create multi-column dashboards with automatic reflow","Implement modal dialogs and card-based layouts"],"best_for":["Applications targeting multiple device types","Responsive dashboard and admin panel development","Teams unfamiliar with CSS Flexbox/Grid"],"limitations":["Complex nested layouts may have performance issues (deep DOM trees)","Limited control over spacing — requires Tailwind utility classes","Responsive breakpoints are fixed (cannot customize without CSS overrides)"],"requires":["Layout element (row, column, card, dialog)","Child elements to arrange","Optional Tailwind CSS classes for spacing"],"input_types":["Child UI elements","Layout properties (gap, align, justify)"],"output_types":["Responsive HTML/CSS layout","Flexbox/Grid-based DOM structure"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_2","uri":"capability://automation.workflow.event.driven.ui.interaction.with.python.async.await.handlers","name":"event-driven ui interaction with python async/await handlers","description":"Captures browser events (clicks, input changes, form submissions) and routes them to Python async functions via Socket.IO message handlers. Supports event filtering, debouncing, and throttling at the framework level. Uses a timer system (background_tasks.py) for delayed execution and background task scheduling. Event handlers can access the triggering element's state and modify UI in response, with automatic re-rendering via the Vue component layer.","intents":["Handle button clicks and form submissions with Python logic","Implement debounced search or auto-save functionality","Run long-running tasks (file uploads, ML inference) without blocking the UI"],"best_for":["Applications with complex event logic (multi-step wizards, conditional forms)","Tools requiring background processing (batch jobs, data imports)","Developers comfortable with Python async/await patterns"],"limitations":["No client-side event handling — all logic must round-trip to Python server","Event handler latency (50-500ms depending on network and server load)","No built-in undo/redo or event replay for debugging"],"requires":["Python 3.9+ with asyncio support","Event handler function (async or sync)","Socket.IO connection established"],"input_types":["Browser events (click, change, submit, keydown)","Element state (value, checked, selected)"],"output_types":["Python function execution","UI state mutations","WebSocket messages"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_3","uri":"capability://automation.workflow.multi.page.routing.with.url.based.page.navigation","name":"multi-page routing with url-based page navigation","description":"Implements a page system (page.py) where each URL route maps to a Python function that constructs UI elements. Pages are registered via decorators (@ui.page('/path')) and rendered on-demand when users navigate. Supports dynamic route parameters (e.g., /user/{user_id}), query strings, and page-specific state isolation. Uses FastAPI routing under the hood with Socket.IO for real-time updates within each page context.","intents":["Build multi-page applications with separate UIs for different routes","Create dynamic pages that render different content based on URL parameters","Implement navigation between pages with browser history support"],"best_for":["Multi-section dashboards or admin panels","Applications with user-specific or resource-specific pages","Teams migrating from traditional web frameworks (Flask, Django)"],"limitations":["Page state is not persisted across navigation — requires explicit storage","No built-in breadcrumb or navigation menu generation","Dynamic route parameters require manual parsing and validation"],"requires":["FastAPI application instance","Page decorator (@ui.page)","URL route pattern (string)"],"input_types":["URL path and query parameters","Page function (Python callable)"],"output_types":["Rendered HTML page","WebSocket connection per page instance"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_4","uri":"capability://image.visual.3d.scene.rendering.with.babylon.js.integration","name":"3d scene rendering with babylon.js integration","description":"Embeds 3D graphics via Babylon.js library, allowing creation of 3D scenes, meshes, cameras, and lighting through Python API. Supports interactive 3D objects with mouse/touch controls, real-time updates from Python, and scene serialization. Useful for robotics visualization, CAD-like tools, and scientific simulations. Renders within the browser canvas with WebGL acceleration.","intents":["Visualize 3D robot models or mechanical simulations in real-time","Build interactive 3D data visualizations (point clouds, molecular structures)","Create CAD-like tools for design and inspection"],"best_for":["Robotics and IoT applications requiring 3D visualization","Scientific and engineering tools","Applications with complex spatial data"],"limitations":["Performance degrades with 10k+ polygons or complex shaders","Limited to Babylon.js feature set — custom GLSL shaders require workarounds","No built-in physics engine (requires separate integration)"],"requires":["Modern GPU-capable browser","WebGL 2.0 support","Babylon.js library (bundled)"],"input_types":["3D mesh data (vertices, indices)","Camera parameters (position, target, fov)","Material properties (color, texture)"],"output_types":["WebGL-rendered 3D scene","Mouse/touch interaction events"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_5","uri":"capability://image.visual.geospatial.mapping.with.leaflet.js.integration","name":"geospatial mapping with leaflet.js integration","description":"Integrates Leaflet.js for interactive maps with support for markers, layers, tile providers, and geospatial data visualization. Maps are embedded as NiceGUI elements and can be updated in real-time from Python. Supports custom tile layers, GeoJSON rendering, and click/hover interactions. Uses Socket.IO to synchronize map state (zoom, pan, selected features) with Python backend.","intents":["Display GPS locations or IoT device positions on a map","Build location-based dashboards with real-time marker updates","Visualize geospatial data (routes, zones, heatmaps)"],"best_for":["IoT and fleet management applications","Location-based services and logistics tools","Environmental monitoring and geospatial analysis dashboards"],"limitations":["Performance degrades with 1000+ markers — requires clustering","Limited to Leaflet.js capabilities — no 3D terrain or advanced GIS features","Tile provider rate limits may apply for high-traffic applications"],"requires":["Leaflet.js library (bundled)","Tile provider API key (e.g., OpenStreetMap, Mapbox)","Modern browser with canvas support"],"input_types":["Latitude/longitude coordinates","GeoJSON feature collections","Marker properties (icon, popup, tooltip)"],"output_types":["Interactive map canvas","Click/hover events with coordinates"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_6","uri":"capability://image.visual.data.visualization.with.plotly.matplotlib.integration","name":"data visualization with plotly/matplotlib integration","description":"Embeds interactive plots and charts using Plotly and Matplotlib libraries. Plots are rendered as HTML/SVG within the browser and can be updated reactively from Python. Supports line charts, scatter plots, heatmaps, 3D surfaces, and custom Plotly figures. Updates trigger re-rendering via Socket.IO without full page reload.","intents":["Display real-time time-series data or live metrics","Create interactive dashboards with multiple chart types","Visualize ML model outputs or training progress"],"best_for":["Data science and analytics dashboards","Real-time monitoring and observability tools","ML model inspection and debugging interfaces"],"limitations":["Large datasets (100k+ points) cause browser performance issues","Matplotlib rendering is slower than Plotly for interactive updates","No built-in data aggregation — requires pre-processing in Python"],"requires":["Plotly or Matplotlib library","Python 3.9+","Modern browser with SVG/Canvas support"],"input_types":["Pandas DataFrames","NumPy arrays","Plotly figure objects"],"output_types":["Interactive HTML/SVG plots","Click/hover events with data point information"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_7","uri":"capability://text.generation.language.form.input.collection.with.validation.and.type.coercion","name":"form input collection with validation and type coercion","description":"Provides input elements (text fields, dropdowns, checkboxes, date pickers, sliders) that automatically bind to Python variables and coerce types. Supports client-side validation rules (required, min/max, regex patterns) and server-side validation via Python functions. Input changes trigger event handlers with automatic type conversion. Uses Quasar form components under the hood with Vue 3 reactivity.","intents":["Collect user input for configuration or data entry","Validate form data before submission to backend","Build interactive forms with conditional fields and dynamic validation"],"best_for":["Configuration tools and admin panels","Data entry applications and surveys","Settings pages and user preference forms"],"limitations":["No built-in multi-step form wizard — requires manual page navigation","Validation errors are not persisted across page reloads","Complex conditional logic requires manual event handler code"],"requires":["Input element type (text, number, select, etc.)","Optional validation rules (regex, min/max, custom function)","Event handler for form submission"],"input_types":["User keyboard/mouse input","Programmatic value updates from Python"],"output_types":["Coerced Python values (int, str, bool, datetime)","Validation error messages"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_8","uri":"capability://data.processing.analysis.file.upload.and.download.with.server.side.storage","name":"file upload and download with server-side storage","description":"Handles file uploads from the browser to the server via multipart form submission over HTTP. Uploaded files are stored on the server filesystem or in-memory, with Python access to file content and metadata. Supports file type filtering, size limits, and progress tracking. Download capability allows serving files from Python to the browser with custom MIME types and filenames.","intents":["Allow users to upload CSV/JSON data for processing","Implement file export functionality (reports, logs, datasets)","Build file management interfaces with upload/download"],"best_for":["Data import/export tools","Document management and collaboration apps","Batch processing and report generation tools"],"limitations":["Large file uploads (>100MB) may timeout or exhaust server memory","No built-in resumable uploads or chunked transfer","File storage requires explicit cleanup — no automatic garbage collection"],"requires":["HTTP multipart form support (FastAPI handles this)","Server filesystem write permissions","Sufficient disk space for uploaded files"],"input_types":["Binary file data (any format)","File metadata (name, size, MIME type)"],"output_types":["File stored on server","File served to browser with custom headers"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-nicegui__cap_9","uri":"capability://safety.moderation.authentication.and.middleware.integration.with.fastapi","name":"authentication and middleware integration with fastapi","description":"Leverages FastAPI's middleware and dependency injection system to implement authentication, authorization, and request/response filtering. Supports JWT tokens, session cookies, and custom authentication schemes. Middleware can access and modify requests before they reach NiceGUI handlers. Uses FastAPI's Depends() for route-level access control and state injection.","intents":["Protect pages and API endpoints with login requirements","Implement role-based access control (RBAC) for different user types","Add request logging, rate limiting, or CORS headers"],"best_for":["Multi-user applications requiring authentication","Applications with sensitive data or compliance requirements","Teams familiar with FastAPI middleware patterns"],"limitations":["No built-in user management UI — requires custom implementation","Session state is not shared across multiple server instances (requires Redis)","Middleware latency adds 5-50ms per request"],"requires":["FastAPI application instance","Authentication library (e.g., python-jose, passlib)","Middleware or dependency function"],"input_types":["HTTP headers (Authorization, Cookie)","Request body (credentials)"],"output_types":["Authenticated user context","Access control decisions (allow/deny)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["Python 3.9+","FastAPI (bundled dependency)","Socket.IO client/server (bundled)","Modern web browser with WebSocket support","Socket.IO server running (included in NiceGUI)","WebSocket-capable browser","Python event loop (asyncio) for background task integration","Static file directory on server","CSS or JavaScript files","Custom index.html template (optional)"],"failure_modes":["Browser rendering latency for complex UIs with 1000+ elements due to Vue reactivity overhead","No built-in client-side state persistence — requires explicit storage integration","Limited to Quasar component library; custom HTML/CSS requires escape hatches","WebSocket latency (typically 50-200ms) visible for rapid interactions","No built-in conflict resolution for concurrent edits from multiple clients","Observable collections add memory overhead for large datasets (10k+ items)","Custom CSS may conflict with Quasar styles — requires careful specificity management","Custom JavaScript runs in the global scope — risk of naming collisions","Static file serving is not optimized for CDN distribution","Relay server introduces additional latency (100-500ms)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.55,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.060Z","last_scraped_at":"2026-05-03T15:20:24.098Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=pypi-nicegui","compare_url":"https://unfragile.ai/compare?artifact=pypi-nicegui"}},"signature":"VJ0UWFaeGbyCw/rf56NVFJ7XJiT7930fMVGUsTk5Ou1XFoc7qMQ/kglY1f5KFnWsMYrvgDb+NCrjFsgcNLQkCw==","signedAt":"2026-06-22T02:48:02.724Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/pypi-nicegui","artifact":"https://unfragile.ai/pypi-nicegui","verify":"https://unfragile.ai/api/v1/verify?slug=pypi-nicegui","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"}}