MarkusNeusinger/anyplot: AI-powered plotting gallery. One spec, nine libraries — matplotlib, plotly, seaborn, bokeh, altair & more. Compare and copy working code. · GitHub

→ anyplot.ai

library-agnostic, ai-powered plotting examples.

anyplot is an AI-powered platform for data visualization that automatically discovers, generates, tests, and maintains plotting examples. Browse hundreds of plots across 15 major visualization libraries in Python, R, Julia, and JavaScript — matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, lets-plot, ggplot2, Makie.jl, Chart.js, D3.js, ECharts, Highcharts, and MUI X Charts (React) — with an architecture ready to welcome additional ecosystems over time.

Community-driven, AI-maintained - Propose plot ideas via GitHub Issues, AI generates the code, automated quality checks ensure excellence. Zero manual coding required.

• AI-generated code - All implementations automatically generated and maintained by AI
• Compare libraries - View matplotlib, seaborn, plotly side-by-side for the same plot
• Always current - AI agents continuously update examples with latest library versions
• Natural language search - Find plots by asking "show correlation between variables"
• AI quality review - Claude evaluates every plot against quality standards (score ≥ 50 required)
• Open source - Community proposes ideas via Issues, AI generates the code

Specification-first design: Every plot starts as a Markdown spec (library-agnostic), then AI generates implementations for all 15 supported libraries across Python, R, Julia, and JavaScript.

plots/scatter-basic/
├── specification.md     # Library-agnostic specification
├── specification.yaml   # Tags, created, issue, suggested
├── metadata/            # Per-library metadata (quality scores, preview URLs)
│   ├── python/
│   │   ├── matplotlib.yaml
│   │   └── ...
│   └── javascript/
│       └── muix.yaml
└── implementations/     # Grouped by language; one file per library
    ├── python/
    │   ├── matplotlib.py
    │   ├── seaborn.py
    │   └── ... (6 more)
    ├── r/ggplot2.R
    ├── julia/makie.jl
    └── javascript/
        ├── chartjs.js   # framework-agnostic JS libs → .js
        ├── d3.js
        ├── echarts.js
        ├── highcharts.js
        └── muix.tsx     # MUI X — React, authored as .tsx

Issue-based workflow: GitHub Issues as state machine for plot lifecycle. Status tracked via live-updating table (no sub-issues). Each library generates in parallel, creating PRs to a feature branch.

AI quality review: Claude evaluates generated plots using cascading thresholds (90/80/70/60/50) over 4 repair attempts. Final score ≥ 50 required for merge.

See docs/reference/ for details.

Backend: FastAPI • PostgreSQL • SQLAlchemy • Python 3.13+

Frontend: React 19 • Vite • TypeScript • MUI

Plotting (Python): matplotlib • seaborn • plotly • bokeh • altair • plotnine • pygal • lets-plot Plotting (R): ggplot2 Plotting (Julia): Makie.jl Plotting (JavaScript): Chart.js • D3.js • ECharts • Highcharts • MUI X Charts (React)

Infrastructure: Google Cloud Run • Cloud SQL • Cloud Storage

Automation: GitHub Actions

AI: Claude (code generation + quality review)

anyplot provides an MCP (Model Context Protocol) server for AI assistants to search plot specifications and fetch implementation code.

Available Tools:

• list_specs - List all plot specifications
• search_specs_by_tags - Search by plot type, domain, features, library
• get_spec_detail - Get full specification with all implementations
• get_implementation - Get code for a specific library
• list_libraries - List supported plotting libraries
• get_tag_values - Get available tag values by category

Add to your MCP client configuration (e.g., Claude Code .mcp.json):

Streamable HTTP Transport (the only supported transport):

{
  "mcpServers": {
    "anyplot": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://api.anyplot.ai/mcp/"]
    }
  }
}

Clients with native Streamable HTTP support can connect to https://api.anyplot.ai/mcp/ directly, without the mcp-remote bridge.

The legacy SSE endpoint (https://api.anyplot.ai/sse/) has been removed — update any configuration still pointing at it.

Most plotting libraries are fully open source. Note these exceptions:

• Highcharts: Free for non-commercial use. Commercial use requires a license from highcharts.com

anyplot/
├── plots/              # Plot specs + metadata + implementations
├── prompts/            # AI agent prompts
├── api/                # FastAPI backend
├── app/                # React frontend
├── core/               # Shared business logic
├── automation/         # Workflow scripts (sync, labels)
├── tests/              # Test suite (unit, integration, e2e)
├── alembic/            # Database migrations
├── docs/               # Documentation
└── .github/workflows/  # GitHub Actions

For details, see Repository Structure

• Vision - Product vision and mission
• Contributing - How to add/improve specs and implementations
• Workflows - Automation flows and label system
• Reference - API, database, repository structure

Contributions are welcome — all code is AI-generated: you propose ideas, AI implements them.

Three ways to contribute (from anyplot.ai or GitHub):

How it works:

1. You create Issue (or click link on anyplot.ai)
2. AI validates and processes your input
3. Maintainer reviews and approves
4. AI generates/fixes the code
5. Automated quality review ensures excellence

Important: Don't submit code directly. If a plot has quality issues, it means the spec needs improvement, not the code.

See contributing.md for details.

See Development Guide for local setup instructions.

MIT License - see LICENSE file for details.

• Website: anyplot.ai
• Documentation: docs/
• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Stats: Public Analytics