---
id: matplotlib-inline
version: "0.2.2"
license: BSD-3-Clause
license_treatment: permissive
maintenance: active
---

# matplotlib-inline — Inline Matplotlib backend for Jupyter

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

## Install

pip install matplotlib-inline
uv add matplotlib-inline
poetry add matplotlib-inline

## Description

# Matplotlib Inline Back-end for IPython and Jupyter

This package provides support for matplotlib to display figures directly inline in the Jupyter notebook and related clients, as shown below.

## Installation

With conda:

```bash
conda install -c conda-forge matplotlib-inline
```

With pip:

```bash
pip install matplotlib-inline
```

## Usage

Note that in current versions of JupyterLab and Jupyter Notebook, the explicit use of the `%matplotlib inline` directive is not needed anymore, though other third-party clients may still require it.

This will produce a figure immediately below:

```python
%matplotlib inline

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp');
```

## License

Licensed under the terms of the BSD 3-Clause License, by the IPython Development Team (see `LICENSE` file).

## AI interpretation — verify before relying

Enables matplotlib figures to display directly inline within Jupyter notebooks and IPython environments, bridging matplotlib's plotting library with Jupyter's interactive display system.

Verdict: Stable, actively maintained package with no known vulnerabilities and permissive licensing. Low install friction and top-1000 popularity make it a reliable choice for inline plotting in Jupyter workflows. The single dependency and pure-Python distribution minimize compatibility risk.

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