AwesomeDataviz

Chartify

Bokeh wrapper that makes it easy for data scientists to create charts.

GitHubPyPI
GitHub stars
3.7K
PyPI downloads / week
426
Commits, last 12 months
0
Contributors
19
Last commit
Latest release
5.0.1Oct 16, 2024

Overview

Chartify is an open-source Python visualization library released under the Apache-2.0 license. Its GitHub repository has 3,653 stars, 336 forks, and 19 contributors. It has not had a commit since Oct 16, 2024. The latest release, 5.0.1, was published on Oct 16, 2024. On PyPI it is downloaded about 426 times per week.

Its GitHub description: Python library that makes it easy for data scientists to create charts.

GitHub topics: bokehvisualizationpythonplottingplotsdata-science

Install

PyPI
pip install chartify
v5.0.1

Development activity

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

01 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
01 Oct 2025 Jan 2026 Apr Jul
0 commits from Oct 2025 to Sep 2026.
Show data as a table
MonthCommits
Oct 20250
Nov 20250
Dec 20250
Jan 20260
Feb 20260
Mar 20260
Apr 20260
May 20260
Jun 20260
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 Chartify 3.7K
Streamlit 45.9K Dash 24.4K Matplotlib 23.3K Bokeh 20.5K Taipy 19.4K Plotly (Python) 18.8K Chartify 3.7K
GitHub stars for Chartify 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
Chartify3,653

Alternatives to Chartify

  • 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

Chartify FAQ

Is Chartify open source?

Yes. Chartify is released under the Apache-2.0 license, and its source code is on GitHub.

Is Chartify still maintained?

It appears inactive: the latest commit was on Oct 16, 2024, over a year ago. It may still work well, but expect fewer fixes and updates.

How do I install Chartify?

From PyPI: pip install chartify.

What are the best alternatives to Chartify?

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

What language is Chartify written in?

Chartify is primarily written in Python, according to GitHub.

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