# Plotnine

> Use this tool when you need to create publication-quality statistical visualizations from various data sources, including CSV, JSON, and Excel files, and require AI-powered template recommendations and customizable theming options. It solves problems of data visualization and representation, supporting 20+ geometry types and automatic saving in PNG, PDF, or SVG formats. Ideal for data analysis and scientific reporting, it takes in data files and outputs high-quality visualizations with detailed error handling and typo corrections.

Canonical page: https://skillsregistry.net/skills/fervoyush-plotnine  
JSON: https://api.skillsregistry.net/v1/skills/fervoyush-plotnine

## Description

Enables creating publication-quality statistical visualizations through plotnine (Python's ggplot2 equivalent) with support for 20+ geometry types and multiple data sources including CSV, JSON, Parquet, and Excel files. Features AI-powered template recommendations that analyze data to suggest appropriate visualization patterns, comprehensive theming system with 21 color palettes, and data transformation operations including filtering, grouping, and sorting. Automatically saves plots in PNG, PDF, or SVG formats with detailed error handling and fuzzy matching for typo corrections.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fervoyush-plotnine)
- **Repository:** <https://github.com/fervoyush/plotnine-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fervoyush-plotnine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fervoyush-plotnine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fervoyush-plotnine/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt