19 boosters for "visualization" — open source, verified from GitHub, ready to install
Analytics Reporter is an AI agent that transforms raw data into actionable business insights through statistical analysis, dashboard creation, and KPI tracking. Data teams and business analysts use it to generate strategic reports and data-driven recommendations.
Document Generator is an AI agent that creates professional PDF, PPTX, DOCX, and XLSX files programmatically with proper formatting and data visualization. Developers and business users benefit from automating document creation workflows without manual formatting.
Analyzes git repositories to map security ownership, identify bus factors, and detect orphaned sensitive code, exporting results for graph visualization. Essential for security teams and DevOps engineers managing code risk and maintainer dependencies.
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards. Use in your training scripts to log metrics: → See references/logging_metrics.md for setup, TRL integration, and configuration options.
Trackio is an ML experiment tracking library that integrates with Hugging Face to log metrics, visualize training progress, and trigger alerts during model development. It's useful for ML engineers and researchers who need real-time monitoring and experiment management.
Heuristic scoring (no AI key configured).
"name": "vizro-marketplace", "name": "Vizro Team", "email": "vizro@mckinsey.com"
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "sentrux-marketplace", "description": "Sentrux — live codebase visualization and structural quality gate for AI-agent-written code",
Generate XML files and export to PNG/SVG/PDF/JPG locally using the native draw.io desktop app CLI. PNG, SVG, and PDF exports support () — the exported file contains the full diagram XML, so opening it in draw.io recovers the editable diagram. Use double extensions () to signal embedded XML. The dr
"name": "research-to-diagram", "description": "Deep research and auto-generate knowledge relationship diagrams in PDF format. From research to visualization in one tool.", "repository": "https://github.com/wshuyi/research-to-diagram",
"name": "generative-ui-mcp", "description": "MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more.", "main": "build/index.js",
"name": "depwire-cli", "description": "Code cross-reference visualization and AI context engine for TypeScript, JavaScript, Python, Go, Rust, and C. Zero native dependencies — works on Windows, macOS, and Linux.", "depwire": "dist/index.js"
A Model Context Protocol server that enables Claude, Cursor, and other MCP clients to generate beautiful, interactive charts using Chart.js v4. Ideal for developers and data analysts who need to visualize data within AI-assisted workflows.
GemPy enables AI coding assistants to build 3D geological models with faults, folds, and unconformities from surface data, benefiting geoscientists, researchers, and engineers working on subsurface analysis and visualization.
TakoData Tako MCP enables AI agents to query and visualize real-time data by integrating Tako's data capabilities, helping developers build data-driven applications with live insights.
This MCP server enables Claude to generate interactive ECharts visualizations by converting data into chart configurations. It's valuable for developers and data analysts who want to create dynamic, publication-quality charts directly within Claude conversations.
Automates configuration of container image registries (ghcr.io, Docker Hub, Harbor) with vulnerability scanning, image signing, and retention policies for secure CI/CD pipelines. Essential for DevOps engineers and platform teams managing containerized applications at scale.
A specialized agent that provides advanced statistical analysis, data visualization, and predictive modeling capabilities for teams needing comprehensive data insights. Ideal for data scientists, business analysts, and development teams integrating data analysis workflows into larger systems.
