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Project description


Create charts in Wagtail streamfields using the plotting service.


Install from PyPI:

pip install wagtail-grafl

Then add the following to your project's INSTALLED_APPS.


Out of the box

There are currently three blocks available in wagtail-grafl.


The primary block used for creating basic Grafl plots.

It consists of a single JSON field for entering Grafl plot data. It inherits from BaseGraflBlock.


Simple formatted JSON field with basic validation and included in GraflBlock.


The BaseGraflBlock is provided to make it easy to extend wagtail-grafl and build your own bespoke Grafl blocks.

It provides the get_grafl_data method that needs to be overridden in any blocks that inherit from this.

The get_grafl_data method should return a dictionary of Grafl compatible data.

This make it possible for custom blocks to pull in data from other sources and generate Grafl plots programatically.


  • WAGTAIL_GRAFL_PLOT_DEFAULTS - a optional dictionary of default parameters that is merged with the blocks grafl data. This is useful for specifying parameters that should be consistent across all Grafl plot blocks.

Example use

Add the StreamBlock to a StreamField on a Wagtail page:

from wagtail.core import blocks
from wagtail_grafl.blocks import GraflBlock

class MyStreamBlock(blocks.StreamBlock):
    grafl_plot = GraflBlock()

Add the StreamBlock to a StreamField on a Wagtail page:

from wagtail.admin.edit_handlers import StreamFieldPanel
from wagtail.core.fields import StreamField
from wagtail.core.models import Page

from .blocks import MyStreamBlock

class MyPage(Page):

    body = StreamField(MyStreamBlock(), null=True)

    content_panels = Page.content_panels + [

Then in the page template:

{% load static wagtailcore_tags %}

{% include_block page.body %}

About Grafl

Grafl is a plotting service that can be used to generate plots from basic JSON data. It's based on Plotly, free to use and very flexible.

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