# 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

### Graph Objects

```
pip install plotly
```

```python
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Bar(x=["a", "b", "c"], y=[1, 3, 2]))
fig.show()
```

### Plotly Express

```
pip install plotly[express]
```

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

You'll also need to install a [supported dataframe library](https://plotly.com/python/px-arguments/#supported-dataframe-types).

See the [Python documentation](https://plotly.com/python/) for more examples.

## Overview

[plotly.py](https://plotly.com/python/) is an interactive, open-source, and browser-based graphing library for Python :sparkles:

Built on top of [plotly.js](https://github.com/plotly/plotly.js), `plotly.py` is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.

`plotly.py` is [MIT Licensed](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt). Plotly graphs can be viewed in [Jupyter notebooks](https://jupyter.org), other Python notebook software such as [marimo](https://marimo.io), as standalone HTML files, or integrated into [Dash applications](https://dash.plotly.com/).

[Contact us](https://plotly.com/consulting-and-oem/) for consulting, dashboard development, application integration, and feature additions.

<p align="center">
    <a href="https://plotly.com/python/" target="_blank">
    <img src="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/plotly_2017.png">
</a></p>

---

- [Online Documentation](https://plotly.com/python/)
- [Contributing to plotly](https://github.com/plotly/plotly.py/blob/main/CONTRIBUTING.md)
- [Changelog](https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md)
- [Code of Conduct](https://github.com/plotly/plotly.py/blob/main/CODE_OF_CONDUCT.md)
- [Community forum](https://community.plotly.com)

---

## Installation

plotly.py may be installed using pip

```
pip install plotly
```

or conda.

```
conda install -c conda-forge plotly
```

### Jupyter Widget Support

For use as a Jupyter widget, install `jupyter` and `anywidget`
packages using `pip`:

```
pip install jupyter anywidget
```

or `conda`:

```
conda install jupyter anywidget
```

### Static Image Export

plotly.py supports [static image export](https://plotly.com/python/static-image-export/),
using the [`kaleido`](https://github.com/plotly/Kaleido)
package (version 1.0 or greater).

Kaleido has minimal dependencies and can be installed
using pip

```
pip install -U kaleido
```

or conda

```
conda install -c conda-forge python-kaleido
```

Kaleido requires Chrome or Chromium to generate images. By default, Kaleido will use the Chrome or Chromium version already installed on your system. If you don't have it installed or Kaleido can't find it, you may need to install it by running the command:

`plotly_get_chrome`

on your command line.

## Copyright and Licenses

Code and documentation copyright 2026 Plotly, Inc.

Code released under the [MIT license](https://github.com/plotly/plotly.py/blob/main/LICENSE.txt).

Docs released under the [Creative Commons license](https://creativecommons.org/licenses/by/4.0/).