# Sweetviz

> Generates self-contained HTML reports that visualize and compare datasets for exploratory analysis.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Repository: https://github.com/fbdesignpro/sweetviz
- License: MIT
- Language: Python
- Status: Maintained (commits in the last 12 months)
- GitHub stars: 3,127
- Commits in the last 12 months: 12
- Contributors: 11
- Last commit: Apr 11, 2026
- Latest release: v2.3.3 (Apr 11, 2026)
- Install (PyPI): `pip install sweetviz`
- Topics: Machine learning & AI visualization, Exploratory data analysis tools

## Overview

Sweetviz is an open-source Python visualization library released under the MIT license. Its GitHub repository has 3,127 stars, 287 forks, and 11 contributors. It is maintained with 12 commits in the last 12 months; the most recent commit was on Apr 11, 2026. The latest release, v2.3.3, was published on Apr 11, 2026.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)

Source: https://awesomedataviz.com/tools/sweetviz/ · Data updated 2026-10-05 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).