matplotlib-inline
Inline Matplotlib backend for Jupyter
Decision gist · record as of 2026-08-14
Yes. If you use Jupyter notebooks or IPython with matplotlib, this package is essential infrastructure—it's a standard dependency of modern Jupyter and typically already present. Install it explicitly only if you're setting up a custom or minimal Jupyter environment. No security issues, permissive license, minimal dependencies, and active maintenance make it a safe, zero-friction addition.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; designed for use within Jupyter notebooks or IPython environments.
- Low friction: pure Python wheel with a single runtime dependency (traitlets).
- Actively maintained with recent commits; last release 98 days ago.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause permissive license imposes no restrictions on use, modification, or distribution in proprietary or open-source projects.
last release 2026-05-08 (98 days) · last repo commit 2026-08-01 · 31 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 130,518,030 downloads/mo, #289 on PyPI
Alternatives
Verify before relying
pip install matplotlib-inline
# In a Jupyter cell:
%matplotlib inline
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [1, 4, 9])
plt.show()- Whether explicit %matplotlib inline directive is still required in current JupyterLab/Notebook versions (description suggests it may not be).
- Specific performance characteristics or memory footprint when rendering large or complex figures.
What it is and what it does
matplotlib-inline is a backend plugin that integrates matplotlib with Jupyter notebooks and IPython, allowing plots to render directly below code cells instead of opening in external windows. It sits between matplotlib and the Jupyter display system, intercepting figure output and embedding it as inline graphics.
The package is lightweight—just a thin wrapper around matplotlib's backend system with one core dependency (traitlets). It's been part of the standard Jupyter ecosystem since early 2021 and is now so integrated that modern JupyterLab and Notebook installations often activate it automatically. You typically only need to install it explicitly if you're using a third-party Jupyter client or running an older environment.
Use it for
- Display matplotlib plots directly in Jupyter notebooks without opening separate figure windows.
- Enable exploratory data analysis workflows where plots appear inline with analysis code.
- Integrate matplotlib visualizations into Jupyter presentations or educational notebooks.
- Use matplotlib in IPython interactive sessions with inline figure rendering.
- Embed plots in Jupyter-based dashboards or reporting notebooks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
If you use Jupyter notebooks or IPython with matplotlib, this package is essential infrastructure—it's a standard dependency of modern Jupyter and typically already present. Install it explicitly only if you're setting up a custom or minimal Jupyter environment. No security issues, permissive license, minimal dependencies, and active maintenance make it a safe, zero-friction addition.
Install
matplotlib-inline on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (traitlets). Actively maintained with recent commits; last release 98 days ago. Stable production status across Python 3.9–3.14.
Requires Python 3.9 or later; designed for use within Jupyter notebooks or IPython environments.
License in practice
BSD-3-Clause permissive license imposes no restrictions on use, modification, or distribution in proprietary or open-source projects.
Quickstart
pip install matplotlib-inline
# In a Jupyter cell:
%matplotlib inline
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [1, 4, 9])
plt.show()Verify before relying
- Whether explicit %matplotlib inline directive is still required in current JupyterLab/Notebook versions (description suggests it may not be).
- Specific performance characteristics or memory footprint when rendering large or complex figures.
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetraitlets |
| Maintenance | Actively maintained 98 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 130,518,030 / month, #289 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: IPythonFramework :: JupyterFramework :: Jupyter :: JupyterLabFramework :: Jupyter :: JupyterLab :: 3Framework :: Jupyter :: JupyterLab :: 4Intended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Multimedia :: Graphics |
Evidence: matplotlib_inline-0.2.2-py3-none-any.whl
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