# Plotly (Python)

> Interactive web based visualization built on top of plotly.js

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://plotly.com/python/
- Repository: https://github.com/plotly/plotly.py
- License: MIT
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 18,822
- Commits in the last 12 months: 739
- Contributors: 303
- Last commit: Sep 24, 2026
- Latest release: v7.1.0 (Sep 15, 2026)
- Install (PyPI): `pip install plotly`, 12.3M downloads per week
- Topics: Jupyter & notebook visualization

## Overview

Plotly (Python) is an open-source Python visualization library released under the MIT license. Its GitHub repository has 18,822 stars, 2,857 forks, and 303 contributors. It is actively developed with 739 commits in the last 12 months. The latest release, v7.1.0, was published on Sep 15, 2026. On PyPI it is downloaded about 12.3M times per week.

## 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)
- [PyGWalker](https://awesomedataviz.com/tools/pygwalker/): Turns dataframes into a drag-and-drop visual analysis UI in Jupyter, based on Graphic Walker. (16K stars)

## Comparisons

- [Plotly.js vs Plotly (Python)](https://awesomedataviz.com/compare/plotly-js-vs-plotly-python/)
- [Plotly (Python) vs Streamlit](https://awesomedataviz.com/compare/plotly-python-vs-streamlit/)

Source: https://awesomedataviz.com/tools/plotly-python/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).