# spotify/chartify

Python library that makes it easy for data scientists to create charts.

Repository: https://github.com/spotify/chartify
Canonical: https://ross.abutalabs.com/products/chartify
Language: Python
License: Apache-2.0
License Family: permissive
Topics: bokeh, visualization, python, plotting, plots, data-science
Last push: 2024-10-16T14:47:17+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 40, longevity 100
- inputs: {"age_days": 2907, "days_push": 686, "days_rel": 686, "gap_med": 0, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3640, forks 332 (observed 2026-08-28T04:08:12.806296+00:00)

## What it is
Chartify is a Python library built on Bokeh that makes it easy for data scientists to create charts with a consistent tidy-data input format and smart default styles. It offers a simple, intuitive API while allowing fallback to Bokeh's API for finer control.

## Use cases
- create charts from pandas dataframes quickly
- plot tidy data without reshaping
- make pretty charts with minimal styling
- build interactive visualizations on top of Bokeh
- export charts as PNG images
- learn plotting with a simple API

## When to choose
- you want quick, good-looking charts from tidy data with minimal configuration
- you're a data scientist working in Python with pandas dataframes
- you want a simpler wrapper around Bokeh with the option to drop down to Bokeh's API

## When to avoid
- you need highly customized or publication-grade bespoke graphics
- you need matplotlib/Seaborn ecosystem compatibility
- you need PNG export but cannot install Chrome/chromedriver
- you need a library under very active development with frequent releases

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, charts
- domain: data-visualization, data-science
- platform: python, cross-platform
- tags: bokeh, plotting, charts, tidy-data

## Member repositories
- spotify/chartify (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:12.806296+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:48.388686+00:00, confidence not recorded.
  - readme: https://github.com/spotify/chartify (fetched 2026-08-28T04:08:12.806296+00:00, sha 421c778186b4)
  - registry_pypi: https://pypi.org/pypi/chartify/json (fetched 2026-08-29T09:26:11.422900+00:00, sha 6e75012ae063)
- Data as of 2026-08-30T08:39:29.467469+00:00.