#37 · Primary category: Business Intelligence & Analytics

Rath

augmented-analytics automated-data-analysis automated-visualization autovis causal-discovery causal-inference causality data-analysis data-exploration data-visualization datamining eda k6s kanaries machine-learning tableau tableau-alternative visualization

Next generation of automated data exploratory analysis and visualization platform.

Project last updated:08/14/26

GitHub Stars

4.7K

Forks

381

Contributors

19

License

AGPL-3.0

Why we included this project

Rath takes a different route than most BI tools by automating the exploratory part of data analysis. Load a dataset, press a button, and its augmented analytics engine surfaces patterns, outliers, and causal relationships as candidate visualizations you can then inspect and refine. Teams that prefer manual control can use the drag-and-drop chart builder, which behaves like a conventional dashboarding tool and works as a lightweight Tableau replacement. The Data Copilot mode bridges the two by generating follow-up charts from whatever you are currently looking at, and the causal discovery features are unusually approachable for this kind of software. Data scientists and business analysts who want automated insight discovery without giving up hands-on charting will get the most out of it.

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