Stats Compass - VS Code Extension

A VS Code extension that provides the Stats Compass MCP server for AI assistants.

What is Stats Compass?

Stats Compass provides 50+ pandas-powered tools for data science workflows:

• Data Loading: Load CSV, Excel, and sample datasets
• Cleaning: Drop nulls, impute, dedupe, handle outliers
• Transforms: Filter, groupby, pivot, encode, scale
• EDA: Describe, correlations, hypothesis tests, data quality
• Visualization: Histograms, scatter, bar, ROC curves, confusion matrix
• ML Workflows: Classification, regression, time series forecasting

Requirements

• Python 3.11+
• UV - The extension will prompt you to install if not detected

Installing UV

macOS/Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Installation

1. Install from the VS Code Marketplace
2. The extension will automatically register the Stats Compass MCP server
3. Use with GitHub Copilot or other AI assistants that support MCP

Usage

Once installed, AI assistants can use Stats Compass tools to:

• Load and explore your data files
• Clean and transform datasets
• Create visualizations
• Train ML models

Start your message with "Use stats compass to..." for best results. This tells the AI to use the Stats Compass tools rather than writing code or using other methods.

Example prompts:

• "Use stats compass to load ~/Downloads/sales.csv and show me a summary"
• "Use stats compass to find my CSV files in Downloads"
• "Use stats compass to run EDA on the dataset"
• "Use stats compass to create a histogram of the price column"
• "Use stats compass to test if there's a significant difference in scores between group A and B"
• "Use stats compass to train a classification model to predict churn"

Links

• Stats Compass MCP Server
• PyPI Package

License

MIT