AwesomeDataviz

SciencePlots

Matplotlib styles for scientific figures and journal publications.

GitHubPyPI
GitHub stars
9.3K#72 in the directory
PyPI downloads / week
22.4K
Commits, last 12 months
10
Contributors
13
Last commit
Latest release
2.2.2Jun 23, 2026

Overview

SciencePlots is an open-source Python visualization library released under the MIT license. Its GitHub repository has 9,270 stars, 821 forks, and 13 contributors. It is maintained with 10 commits in the last 12 months; the most recent commit was on Jun 23, 2026. The latest release, 2.2.2, was published on Jun 23, 2026. On PyPI it is downloaded about 22.4K times per week.

Its GitHub description: Matplotlib styles for scientific plotting

GitHub topics: matplotlib-style-sheetsmatplotlib-figuresscientific-papersthesis-templatematplotlib-stylespythoncjk-fontsieee-paperlatex

Install

PyPI
pip install SciencePlots
v2.2.2

Development activity

Commits per month to the default branch over the last 12 complete months.

024 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
024 Oct 2025 Jan 2026 Apr Jul
10 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 20250
Nov 20254
Dec 20250
Jan 20262
Feb 20261
Mar 20260
Apr 20260
May 20260
Jun 20263
Jul 20260
Aug 20260
Sep 20260

Popularity among Python data visualization libraries

Streamlit 45.9K Dash 24.4K Matplotlib 23.3K Bokeh 20.5K Taipy 19.4K Plotly (Python) 18.8K SciencePlots 9.3K
Streamlit 45.9K Dash 24.4K Matplotlib 23.3K Bokeh 20.5K Taipy 19.4K Plotly (Python) 18.8K SciencePlots 9.3K
GitHub stars for SciencePlots and the most-starred alternatives.
Show data as a table
ToolStars
Streamlit45,895
Dash24,441
Matplotlib23,323
Bokeh20,455
Taipy19,443
Plotly (Python)18,822
SciencePlots9,270

Alternatives to SciencePlots

  • Streamlit

    Framework for turning Python scripts into interactive data apps.

    45.9K starsPythonApache-2.0

  • Dash

    Framework for building data apps and dashboards in Python, built on Plotly.js and React.

    24.4K starsPythonMIT

  • Matplotlib

    2D plotting library.

    23.3K starsPythonPSF-2.0

  • Bokeh

    Interactive Web Plotting for Python.

    20.5K starsTypeScriptBSD-3-Clause

  • Taipy

    Python framework for building data and AI web applications with interactive charts and dashboards.

    19.4K starsPythonApache-2.0

  • Plotly (Python)

    Interactive web based visualization built on top of plotly.js

    18.8K starsPythonMIT

SciencePlots FAQ

Is SciencePlots open source?

Yes. SciencePlots is released under the MIT license, and its source code is on GitHub.

Is SciencePlots still maintained?

Mostly. SciencePlots had 10 commits in the last 12 months; the latest was on Jun 23, 2026.

How do I install SciencePlots?

From PyPI: pip install SciencePlots.

What are the best alternatives to SciencePlots?

The most popular alternatives listed in Python data visualization libraries are Streamlit, Dash, and Matplotlib. See the full ranking.

What language is SciencePlots written in?

SciencePlots is primarily written in Python, according to GitHub.

Data: GitHub API, PyPI. Updated Oct 4, 2026.