# Exploratory data analysis tools

> Profile, explore and find patterns in a dataset quickly. 9 tools, ranked by GitHub stars.

Tools for the first look at a dataset: automatic profiling reports, drag-and-drop exploration interfaces and automated insight discovery, for when you do not yet know which chart you need.

| # | Tool | GitHub stars | Commits (12 mo) | License | Description |
|---:|---|---:|---:|---|---|
| 1 | [Apache Superset](https://awesomedataviz.com/tools/superset/) | 75,035 | 5,646 | Apache-2.0 | Data exploration and visualization platform with a no-code chart builder, SQL IDE and dashboards. |
| 2 | [PyGWalker](https://awesomedataviz.com/tools/pygwalker/) | 15,983 | 154 | Apache-2.0 | Turns dataframes into a drag-and-drop visual analysis UI in Jupyter, based on Graphic Walker. |
| 3 | [ydata-profiling](https://awesomedataviz.com/tools/ydata-profiling/) | 13,719 | 8 | MIT | Generates statistical analytic reports with visualization for quick data analysis (formerly pandas-profiling). |
| 4 | [SandDance](https://awesomedataviz.com/tools/sanddance/) | 7,147 | 67 | MIT | Visual data exploration and presentation with animated unit visualizations, from Microsoft Research. |
| 5 | [Panel](https://awesomedataviz.com/tools/panel/) | 5,782 | 392 | BSD-3-Clause | Data exploration and web app framework for Python that works with many plotting libraries. |
| 6 | [Observable Plot](https://awesomedataviz.com/tools/observable-plot/) | 5,400 | 38 | ISC | A JavaScript library for exploratory data visualization. |
| 7 | [RATH](https://awesomedataviz.com/tools/rath/) | 4,686 | 29 | AGPL-3.0 | Automatic Exploratory Data Analysis & Data Visualization tool which is powered by an AI-assisted Augmented Analytics engine. |
| 8 | [Graphic Walker](https://awesomedataviz.com/tools/graphic-walker/) | 3,257 | 51 | Apache-2.0 | An embeddable React component that functions as an open source alternative to Tableau, which allows data scientists to analyze data and visualize patterns with simple drag-and-drop operations. |
| 9 | [Squey](https://awesomedataviz.com/tools/squey/) | 23 | – | MIT | Visualization software for exploring and understanding large amounts of tabular data (using parallel coordinates, timeseries and scatter plots). |

Source: https://awesomedataviz.com/topics/data-exploration/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).