English | [日本語](./docs/README-jp.md) | [简体中文](./docs/README-zh.md)
## Introduction
**RATH** i an software beyond open-source alternative to Data Analysis and Visualization tools such as Tableau. It automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization.
## Get started
Get started with RATH now!
- 🚀 [Online RATH / Demo](https://rath.kanaries.net)
- 📖 [Read RATH Docs](https://docs.kanaries.net)
- [Video introducing RATH's data painter](https://youtu.be/djqePNyhz7w)
## Table of contents
[Feature highlights](#features) | [Walkthroughs](#walkthroughs) | [Developer Documentation](#developer-documentation) | [Project Status](#project-status) | [Community](#community) | [Contributions](#contributions)
## Features
+ 🤖 [Mega-auto exploration](https://docs.kanaries.net/auto-explore): Augmented analytic engine for discovering patterns, insights, and causals. A fully-automated way to explore your data set and visualize your data with one click.
+ AutoVis: Auto-generated multi-dimensional data visualization based on the effectiveness score.
- 👓 [Data Wrangler](https://docs.kanaries.net/data-source): Automated data wrangler for generating summary of the data and data transformation.
- 🛠 [Semi-auto exploration](https://docs.kanaries.net/semi-auto-explore): Combines automated data exploration and manual exploration. RATH will work as your copilot in data science, learn your interests and uses augmented analytics engine to generate relevant recommendations for you.
- 🎨 [Data painter](https://docs.kanaries.net/data-painter): An interactive, instinctive yet powerful tool for exploratory data analysis by directly coloring your data, with further analytical features. A video about data painter [here](https://youtu.be/djqePNyhz7w)
- :bar_chart: Dashboard: build a beautiful interactive data dashboard (including a automated dashboard designer which can provide suggestions to your dashboard).
- :construction: Causal Analysis: Provide causal discovery and explanations for complex relation analysis.
## Walkthroughs
### Import data from online databases or CSV/JSON files.
[](https://docs.kanaries.net/data-profiling#import-your-data)
### View statistics from your data source
[](https://docs.kanaries.net/data-profiling#data-profiling)
### Data Preparation
RATH support data preparation with black magic like predictive transformation operations. It will automatically generate suggestions of transformations and cleaning, etc.
[](https://docs.kanaries.net/data-profiling#data-profiling)
### One-click automated data analysis with visualizations
[](https://docs.kanaries.net/mega-auto-data-exploration)
### Use RATH as your AI Copilot in Data Analysis
Assisted with AI, RATH can help you with your data analysis. Just provide RATH with some input and it will learn about your interests and suggest analysis directions to take.
[](https://docs.kanaries.net/semi-auto-data-exploration)
### Manually explore your data with drag and drop:
> Manual Exploration is an independent embedding module. You can use it independently in your apps. For more details, refer to the README.md in in `packages/graphic-walker/README.md`.
>
> Install Graphic Walker
> ```bash
> yarn add @kanaries/graphic-walker
> # or
> npm i --save @kanaries/graphic-walker
> ```
### :sparkles: Interactive data analysis workflow by data painting
[Data Painter Video 🔥 on Youtube](https://youtu.be/djqePNyhz7w)
### 🌅 Causal Analysis (Alpha stage)
Causal analysis could be defined as the way to identify and examine the causal relationship between variables, which can help explore the data, create better prediction models and make business decision.
RATH's causal analysis feature include:
- Causal Discovery
- Editable graphical causal models
- Causal interpretability
- Interactive tools for deeper exploration
- What-if analysis
For more about Causal Analysis features, refer to [RATH Docs](https://docs.kanaries.net/causal-analysis).
## Supported Databases
RATH supports a wide range of data sources. Here are some of the major database solutions that you can connect to RATH:
> Please consider sharing your experience or thoughts about [Kanaries RATH](https://kanaries.net) with the border Open Source community. It really does help!
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## Contributions
Please check out the [Contributing to RATH guide](https://docs.kanaries.net/contribution-guide)
for guidelines about how to proceed.
Thanks to all contributors :heart:
Have fun with data! ❤️