---
id: plotly
version: "6.9.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# plotly — An open-source interactive data visualization library for Python

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install plotly
uv add plotly
poetry add plotly

## Description

# plotly.py

<table>
    <tr>
        <td>Latest Release</td>
        <td>
            <a href="https://pypi.org/project/plotly/"/>
            <img src="https://badge.fury.io/py/plotly.svg"/>
        </td>
    </tr>
    <tr>
        <td>User forum</td>
        <td>
            <a href="https://community.plotly.com/"/>
            <img src="https://img.shields.io/badge/help_forum-discourse-blue.svg"/>
        </td>
    </tr>
    <tr>
        <td>PyPI Downloads</td>
        <td>
            <a href="https://pepy.tech/project/plotly"/>
            <img src="https://pepy.tech/badge/plotly/month"/>
        </td>
    </tr>
    <tr>
        <td>License</td>
        <td>
            <a href="https://opensource.org/licenses/MIT"/>
            <img src="https://img.shields.io/badge/License-MIT-yellow.svg"/>
        </td>
    </tr>
</table>

<div align="center">
  <a href="https://dash.plotly.com/project-maintenance">
    <img src="https://dash.plotly.com/assets/images/maintained-by-plotly.png" width="400px" alt="Maintained by Plotly">
  </a>
</div>

## Quickstart

`pip install plotly`

```python
import plotly.express as px
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
fig.show()
```

See...

## AI interpretation — verify before relying

plotly is an interactive, browser-based graphing library that creates over 30 chart types including scientific, 3D, statistical, and financial visualizations for display in Jupyter notebooks, HTML files, or Dash applications.

Verdict: plotly is a mature, actively maintained visualization library with permissive MIT licensing and low install friction. No known vulnerabilities and broad Python version support (3.8–3.13) make it a reliable choice for interactive charting across notebooks and web applications.

[View on SkillFed](https://skillfed.io/packages/plotly) · [View on PyPI](https://pypi.org/project/plotly/)