spotify/chartify

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

Python

3,655

107 commits

updated Oct 16, 2024

See the code

README

Chartify

Status Latest release python python python CI

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

Why use Chartify?

  • Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format.
  • Smart default styles: Create pretty charts with very little customization required.
  • Simple API: We've attempted to make the API as intuitive and easy to learn as possible.
  • Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

Examples

See this notebook for more examples!.

Installation

  1. Chartify can be installed via pip:

pip3 install chartify

  1. Install chromedriver requirement (Optional. Needed for PNG output):
    • Install google chrome.
    • Download the appropriate version of chromedriver for your OS here.
    • Copy the executable file to a directory within your PATH.
    • View directorys in your PATH variable: echo $PATH
    • Copy chromedriver to the appropriate directory, e.g.: cp chromedriver /usr/local/bin

Getting started

This tutorial notebook is the best place to get started with a guided tour of the core concepts of Chartify.

From there, check out the example notebook for a list of all the available plots.

Docs

Documentation available on chartify.readthedocs.io.

Getting support

Use the chartify tag on StackOverflow.

Code of Conduct

This project adheres to the Open Code of Conduct. By participating, you are expected to honor this code.

Contributing

See the contributing docs.

bokeh
data-science
plots
plotting
python
visualization

spotify/chartify

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

Python

3,655

107 commits

updated Oct 16, 2024

See the code

README

Chartify

Status Latest release python python python CI

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

Why use Chartify?

  • Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format.
  • Smart default styles: Create pretty charts with very little customization required.
  • Simple API: We've attempted to make the API as intuitive and easy to learn as possible.
  • Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.

Examples

See this notebook for more examples!.

Installation

  1. Chartify can be installed via pip:

pip3 install chartify

  1. Install chromedriver requirement (Optional. Needed for PNG output):
    • Install google chrome.
    • Download the appropriate version of chromedriver for your OS here.
    • Copy the executable file to a directory within your PATH.
    • View directorys in your PATH variable: echo $PATH
    • Copy chromedriver to the appropriate directory, e.g.: cp chromedriver /usr/local/bin

Getting started

This tutorial notebook is the best place to get started with a guided tour of the core concepts of Chartify.

From there, check out the example notebook for a list of all the available plots.

Docs

Documentation available on chartify.readthedocs.io.

Getting support

Use the chartify tag on StackOverflow.

Code of Conduct

This project adheres to the Open Code of Conduct. By participating, you are expected to honor this code.

Contributing

See the contributing docs.

bokeh
data-science
plots
plotting
python
visualization

Project health

Overall

3.8/10

Maintained

0/10

Code review

2/10
OpenSSF Scorecard

Latest release

5.0.1 · Oct 16, 2024

Releases this year

0

Significant stargazers

Jakub Okoński

57 followers · starred Nov 2018

Diego Gomes Tomé

77 followers · starred Dec 2019

Maxx Crawford

117 followers · starred Nov 2018

Thomas Mickley-Doyle

114 followers · starred Jan 2020