RATH is an open-source platform for automated exploratory data analysis (auto-EDA) and visualization, targeting data scientists and analysts. It aims to accelerate the data exploration workflow by automatically discovering patterns, insights, and causal relationships, presenting them through auto-generated visualizations and an interactive interface.

How It Works

RATH employs an augmented analytic engine to automate data exploration, identifying patterns, insights, and causal relationships. It leverages a natural language interface, integrating with GPT for querying data and generating visualizations. The platform includes features like "AutoVis" for optimal chart selection, a "Data Wrangler" for automated data preparation and transformation suggestions, and an interactive "Data Painter" for direct data manipulation and analysis.

Quick Start & Requirements

• Install via npm: npm i --save @kanaries/graphic-walker or yarn: yarn add @kanaries/graphic-walker.
• Requires Node.js and Yarn/npm.
• For client-side builds: yarn install yarn workspace rath-client build.
• Refer to RATH Docs for detailed setup and usage.

Highlighted Details

• Automated data exploration with an augmented analytic engine.
• Natural language interface powered by GPT for data querying.
• Interactive "Data Painter" for direct data manipulation and insight discovery.
• "Causal Analysis" module (Alpha) for discovering and visualizing causal relationships.

Maintenance & Community

• Active development with an open alpha stage.
• Community channels available via Slack and Discord.
• Contributions are welcomed via GitHub issues and pull requests.

Licensing & Compatibility

• Licensed under AGPL.
• Branded icons have their own copyright licenses.
• AGPL's copyleft nature may impose restrictions on linking with closed-source applications.

Limitations & Caveats

The Causal Analysis feature is currently in Alpha stage. The AGPL license requires derivative works to also be open-sourced under AGPL, which may impact commercial adoption in closed-source environments.