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matplotlib-inline

Inline Matplotlib backend for Jupyter

Why this rank:Strong adoptionRecent releaseHealthy release cadence

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).

Release History

VersionChangesUrgencyDate
main@2026-05-08Latest activity on main branchHigh5/8/2026
0.2.1Imported from PyPI (0.2.1)Low4/21/2026
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
main@2025-12-01Latest activity on main branchLow12/1/2025
0.2.0Tag 0.2.0Low10/16/2025
0.1.7Tag 0.1.7Low4/15/2024
0.1.6Tag 0.1.6Low8/18/2022
0.1.5Tag 0.1.5Low8/16/2022
0.1.4Tag 0.1.4Low8/16/2022
0.1.3Tag 0.1.3Low9/7/2021
0.1.2Tag 0.1.2Low4/20/2021
0.1.1Tag 0.1.1Low4/14/2021
0.1.0Tag 0.1.0Low2/12/2021

Dependencies & License Audit

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