Skip to main content

Create beautiful JavaScript charts with one line of Python

Project description

Create beautiful JavaScript charts with one line of Python. No more fighting with charting libraries!

See it in action 1.0 was recently released - see how to upgrade

Build Status

Quick Start


pip install chartkick

Then follow the instructions for your web framework:

This sets up Chartkick with Chart.js. For other charting libraries, see these instructions.



    # ...

Load the JavaScript

{% load static %}

<script src="{% static 'chartkick/Chart.bundle.js' %}"></script>
<script src="{% static 'chartkick/chartkick.js' %}"></script>

Create a chart in a view

from chartkick.django import PieChart

def index(request):
    chart = PieChart({'Blueberry': 44, 'Strawberry': 23})
    return render(request, 'home/index.html', {'chart': chart})

And add it to the template

{{ chart }}


Register the blueprint

from chartkick.flask import chartkick_blueprint


Load the JavaScript

<script src="{{ url_for('chartkick.static', filename='Chart.bundle.js') }}"></script>
<script src="{{ url_for('chartkick.static', filename='chartkick.js') }}"></script>

Create a chart in a route

from chartkick.flask import PieChart

def index():
    chart = PieChart({'Blueberry': 44, 'Strawberry': 23})
    return render_template('home/index.html', chart=chart)

And add it to the template

{{ chart }}


Line chart

LineChart({'2023-01-01': 11, '2023-01-02': 6})

Pie chart

PieChart({'Blueberry': 44, 'Strawberry': 23})

Column chart

ColumnChart({'Sun': 32, 'Mon': 46, 'Tue': 28})

Bar chart

BarChart({'Work': 32, 'Play': 1492})

Area chart

AreaChart({'2021-01-01': 11, '2021-01-02': 6})

Scatter chart

ScatterChart([[174.0, 80.0], [176.5, 82.3]], xtitle='Size', ytitle='Population')

Geo chart - Google Charts

GeoChart({'United States': 44, 'Germany': 23, 'Brazil': 22})

Timeline - Google Charts

Timeline([['Washington', '1789-04-29', '1797-03-03'], ['Adams', '1797-03-03', '1801-03-03']])

Multiple series

data = [
    {'name': 'Workout', 'data': {'2021-01-01': 3, '2021-01-02': 4}},
    {'name': 'Call parents', 'data': {'2021-01-01': 5, '2021-01-02': 3}}


Data can be a dictionary, list, or URL.


LineChart({'2023-01-01': 2, '2023-01-02': 3})


LineChart([['2023-01-01', 2], ['2023-01-02', 3]])


Make your pages load super fast and stop worrying about timeouts. Give each chart its own endpoint.



Width and height

LineChart(data, width='800px', height='500px')

Min and max values

LineChart(data, min=1000, max=5000)

min defaults to 0 for charts with non-negative values. Use None to let the charting library decide.

Min and max for x-axis - Chart.js

LineChart(data, xmin='2021-01-01', xmax='2022-01-01')


LineChart(data, colors=['#b00', '#666'])

Stacked columns or bars

ColumnChart(data, stacked=True)

Discrete axis

LineChart(data, discrete=True)

Label (for single series)

LineChart(data, label='Value')

Axis titles

LineChart(data, xtitle='Time', ytitle='Population')

Straight lines between points instead of a curve

LineChart(data, curve=False)

Hide points

LineChart(data, points=False)

Show or hide legend

LineChart(data, legend=False)

Specify legend position

LineChart(data, legend='bottom')

Donut chart

PieChart(data, donut=True)

Prefix, useful for currency - Chart.js, Highcharts

LineChart(data, prefix='$')

Suffix, useful for percentages - Chart.js, Highcharts

LineChart(data, suffix='%')

Set a thousands separator - Chart.js, Highcharts

LineChart(data, thousands=',')

Set a decimal separator - Chart.js, Highcharts

LineChart(data, decimal=',')

Set significant digits - Chart.js, Highcharts

LineChart(data, precision=3)

Set rounding - Chart.js, Highcharts

LineChart(data, round=2)

Show insignificant zeros, useful for currency - Chart.js, Highcharts

LineChart(data, round=2, zeros=True)

Friendly byte sizes - Chart.js

LineChart(data, bytes=True)

Specify the message when data is loading

LineChart(data, loading='Loading...')

Specify the message when data is empty

LineChart(data, empty='No data')

Refresh data from a remote source every n seconds

LineChart(url, refresh=60)

You can pass options directly to the charting library with:

LineChart(data, library={'backgroundColor': '#eee'})

See the documentation for Chart.js, Google Charts, and Highcharts for more info.

To customize datasets in Chart.js, use:

LineChart(data, dataset={'borderWidth': 10})

You can pass this option to individual series as well.

Multiple Series

You can pass a few options with a series:

  • name
  • data
  • color
  • dataset - Chart.js only
  • points - Chart.js only
  • curve - Chart.js only


If you want to use the charting library directly, get the code with:

LineChart(data, code=True)

The code will be logged to the JavaScript console. JavaScript functions cannot be logged, so it may not be identical.

Download Charts

Chart.js only

Give users the ability to download charts. It all happens in the browser - no server-side code needed.

LineChart(data, download=True)

Safari will open the image in a new window instead of downloading.

Set the filename

LineChart(data, download={'filename': 'boom'})

Set the background color

LineChart(data, download={'background': '#ffffff'})

Set title

LineChart(data, title='Awesome chart')

Additional Charting Libraries

Google Charts

Load the JavaScript


{% load static %}

<script src=""></script>
<script src="{% static 'chartkick/chartkick.js' %}"></script>


<script src=""></script>
<script src="{{ url_for('chartkick.static', filename='chartkick.js') }}"></script>


Download highcharts.js and load the JavaScript


{% load static %}

<script src="{% static 'highcharts.js' %}"></script>
<script src="{% static 'chartkick/chartkick.js' %}"></script>


<script src="{{ url_for('static', filename='highcharts.js') }}"></script>
<script src="{{ url_for('chartkick.static', filename='chartkick.js') }}"></script>

Multiple Libraries

If more than one charting library is loaded, choose between them with:

LineChart(data, adapter='google')  # or highcharts or chartjs


A big thanks to Mher Movsisyan for creating the initial version.



For Django, change chartkick to chartkick.django under INSTALLED_APPS in and remove chartkick.js() from STATICFILES_DIRS. Then update charts to use classes.

from chartkick.django import LineChart

LineChart({'2023-01-01': 11, '2023-01-02': 6})

For Flask, switch to the included blueprint (available in 1.0.1). Then update charts to use classes.

from chartkick.flask import LineChart

LineChart({'2023-01-01': 11, '2023-01-02': 6})


View the changelog


Everyone is encouraged to help improve this project. Here are a few ways you can help:

To get started with development:

git clone
pip install -r requirements.txt

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

chartkick-1.0.1-py2.py3-none-any.whl (195.1 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page