AwesomeDataviz

Lets-Plot

Grammar of graphics plotting library for Python and Kotlin, by JetBrains.

Website GitHubPyPI
GitHub stars
1.8K
PyPI downloads / week
9.2K
Commits, last 12 months
606
Contributors
21
Last commit
Latest release
v4.11.0Jun 30, 2026

Overview

Lets-Plot is an open-source Python visualization library released under the MIT license. Its GitHub repository has 1,783 stars, 61 forks, and 21 contributors. It is maintained with 606 commits in the last 12 months; the most recent commit was on Jun 30, 2026. The latest release, v4.11.0, was published on Jun 30, 2026. On PyPI it is downloaded about 9.2K times per week.

Its GitHub description: Multiplatform plotting library based on the Grammar of Graphics

GitHub topics: pythonkotlinplotdata-visualizationjupyterjupyter-notebooksggplotplot-librarysciviewpycharmgeo-spatialdatalore

Install

PyPI
pip install lets-plot
v4.11.0

Development activity

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

050100150 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
050100150 Oct 2025 Jan 2026 Apr Jul
606 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 202595
Nov 202545
Dec 202545
Jan 202662
Feb 2026115
Mar 202654
Apr 202679
May 202677
Jun 202634
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 Lets-Plot 1.8K
Streamlit 45.9K Dash 24.4K Matplotlib 23.3K Bokeh 20.5K Taipy 19.4K Plotly (Python) 18.8K Lets-Plot 1.8K
GitHub stars for Lets-Plot 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
Lets-Plot1,783

Alternatives to Lets-Plot

  • 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

Lets-Plot FAQ

Is Lets-Plot open source?

Yes. Lets-Plot is released under the MIT license, and its source code is on GitHub.

Is Lets-Plot still maintained?

Mostly. Lets-Plot had 606 commits in the last 12 months; the latest was on Jun 30, 2026.

How do I install Lets-Plot?

From PyPI: pip install lets-plot.

What are the best alternatives to Lets-Plot?

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

What language is Lets-Plot written in?

Lets-Plot is primarily written in Kotlin, according to GitHub.

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