# Chartify

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

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Repository: https://github.com/spotify/chartify
- License: Apache-2.0
- Language: Python
- Status: Inactive (no commits in over a year)
- GitHub stars: 3,653
- Commits in the last 12 months: 0
- Contributors: 19
- Last commit: Oct 16, 2024
- Latest release: 5.0.1 (Oct 16, 2024)
- Install (PyPI): `pip install chartify`, 426 downloads per week

## 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.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)

Source: https://awesomedataviz.com/tools/chartify/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).