RATH: Your Open-Source Ally in Data Analysis and Visualization

Introduction

In the age of data-driven decisions, RATH is here to revolutionize how you approach data analysis and visualization. Not just another open-source alternative to prominent tools like Tableau, RATH brings to the table an unprecedented automation in your Exploratory Data Analysis (EDA) workflow. Its sophisticated Augmented Analytic engine is designed to delve deep into patterns, insights, and causals, transforming them into insightful and multi-dimensional auto-generated visualizations.

Getting Started

Starting with RATH is a breeze! Test the waters with our sandbox demo of selected features, or delve deeper into our comprehensive RATH documentation. Take a few moments to watch our video introducing RATH's data painter feature, which offers a powerful, instinctive tool for EDA.

Key Features

RATH is engineered to deliver a full suite of advanced data analysis capabilities:

For more about our Causal Analysis features, check out the RATH documentation.

Supported Databases

RATH supports an extensive list of data sources, including Amazon Athena, Amazon Redshift, Apache Spark SQL, Apache Doris, Clickhouse, Apache Hive, MySQL, Postgre SQL, Apache Impala, Apache Kylin, Oracle, and AirTable. If you're interested in adding support for more database types or data engines, we welcome your input—feel free to contact us at RATH website.

Developer Documentation

As an open-source software in its alpha stage, we are working tirelessly to improve RATH's code and documentation. We appreciate any feedback or reports of bugs, as well as any feature requests. Check out the RATH documentation for references and guidance, or email us your experiences with RATH at support [at] kanaries.org.

Don’t forget to try out RATH products now!