Discover all dashboard widget types, their display details, and required configuration keys for building and customizing dashboards on Speak AI.
MIT
650,501 tools. Updated 2026-10-13 21:47
"Plotly Dash - A Python Framework for Building Interactive Web Dashboards" matching MCP tools:
- Publish a chart using a freeform Plotly spec for advanced features like custom shapes, multi-axis layouts, or animation frames.MIT
- Retrieve official step-by-step instructions to instrument Scout APM for your framework, supporting web, background jobs, and database libraries.MIT
- Visualize building geometry in 3D with interactive controls. Click surfaces to inspect properties and toggle visibility by type or zone.MIT
- Generate Plotly figures from data and natural-language descriptions. Handles open-ended chart requests by writing and running Python code, returning the figure as JSON.MIT
- Run Python code in a sandbox to build and stream interactive Prefab UI components, rendering results directly. Supports reactive state, charts, and layouts for dynamic dashboards.MIT
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- AlicenseAqualityAmaintenanceRenders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.4085 npm48Functional Source , Version 1.1, MIT Future
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.MIT
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- Start an interactive web-based shell on a remote system for running commands and scripts with full terminal support. Ideal for Proxmox scripts or any interactive CLI tools.MIT
- Retrieve a heatmap overview of all tracked tickers with current signal scores for building visual dashboards or scanning the entire set at once.MIT
- Create interactive Plotly visualizations of French election data. Use a full Plotly spec or assisted mode with chart type and columns.MIT
- Detect project type, framework, and key configuration files automatically. Identifies Python, Node.js, .NET, Rust, Go, Java, Docker, and more by checking characteristic files.MIT
- Identifies the web component framework used in a project by analyzing package.json, CEM metadata, and config files. Returns the framework name, version, CEM generator, and regeneration notes.MIT
- Execute Python code to generate interactive visualizations, plots, and dashboards, then view them in a browser via a unique URL.BSD 3-Clause
- Find Grafana dashboards and folders by name or tag to get their UID, title, type, folder, and tags before retrieving full dashboard details.MIT
- Build interactive GitHub PR and issue analysis dashboards by running Prefab Python UI code in a sandbox, with reactive components and charts for repository insights.Apache 2.0
- Generate Page Object Model classes from current page analysis, extracting interactive elements and auto-generating framework-specific code for Playwright or Selenium.ISC
- Initialize a project with Lupa testing framework scaffolding, using non-interactive execution to avoid prompts.Apache 2.0
- Generate an interactive scatter matrix (pair plot) from numeric columns to visualize pairwise relationships, with optional color encoding by a categorical variable.MIT
- Generate an interactive Plotly figure from tabular data by choosing a chart type and optional axes. Returns a JSON representation for rendering.MIT
- Create interactive HTML reports and dashboards with responsive design, charts, and filtering capabilities for Microsoft 365 data analysis.-
- Run a flow project using the Python API with optional inputs, ensuring proper tool execution without interactive prompts.MIT
- Retrieve a list of Grafana dashboards, optionally filtered by a specific tag, to browse available visualizations.MIT