Skip to main content

Django app with a template tag to allow you to include sparklines of the 52-week commit history for a project on Github

Project description

If you want to display snazzy Github participation graphs on your Django-based web site, this is for you.

This is a small Django app that provides a template tag to allow you to include sparklines of the 52-week commit history for a project on Github. Think of the graphs you see down the left-hand side of a Github user’s home page – only, as I said, snazzy sparklines instead of bar charts. Examples can be found on the introductory blog post. A real-world example can be found on the author’s “About” page:

Requirements

Other than Django itself, no external libraries are required. The sparklines are generated using Google Charts so no image processing is done locally. The app has been tested with the latest Subversion trunk version of Django, but should be quite happy working with older releases too.

Installation

You can download the package from PyPI using either PIP or easy_install:

pip install participationgraphs
easy_install participationgraphs

Alternatively you can install the latest version from Github:

pip install -U -e git+git://github.com/flother/participationgraphs.git#egg=participationgraphs

Add the participationgraphs app to INSTALLED_APPS in your Django settings file:

INSTALLED_APPS = (
    # ...
    'participationgraphs',
)

If you’re been running the development server while you do this, restart it so Django can find the new template tag library.

Usage

In each template you want to show participation graphs, load the githubgraphs library:

{% load githubgraphs %}

This can appear anywhere in your template as long as it comes before the first use of the github_participation_graph template tag.

At the point in the template you want to display a participation graph, include:

{% github_participation_graph "brosner" "django" %}

This will output an img element for the sparkline, showing the commit history for the django project belonging to the Github user brosner. The img element’s src attribute will point to a dynamically-generated Google Charts image.

By default the sparkline will be a grey data-line on a white background, 400 pixels wide by 50 pixels high, but if you want to change the colours or dimensions you can. The following example will display a sparkline 100 pixels wide by 40 pixels high, with a red data-line on a black background:

{% github_participation_graph "brosner" "django" "100x40" "ff0000" "000000" %}

There are seven parameters in total; two are mandatory and five are optional:

  1. username: Github username (mandatory)

  2. project_name: Github project name (mandatory)

  3. dimensions: height and width of the image in pixels in the format “HxW”

  4. foreground_colour: six-digit hex colour of the sparkline data

  5. background_colour: six-digit hex colour of the graph background

  6. fill_colour: six-digit hex colour of the graph’s data fill

  7. marker_colour: six-digit hex colour for the final data marker

Caveat emptor

To get the commit data for the graph the template tag makes an HTTP request to github.com – so for every sparkline there will be two HTTP requests: one client-side to a Google server to get the chart image and one server-side to Github. Although it’s optional I highly recommend using Django’s built-in caching to cache either the template or the template fragment.

Licence

All code in this repository is released under the GNU General Public licence version 2. For details see the LICENCE file in the root directory.

If you’d like to use the code under a different (open-source) licence, contact me and we’ll see what we can do.

Project details


Download files

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

Source Distribution

participationgraphs-0.1.1.tar.gz (5.6 kB view details)

Uploaded Source

File details

Details for the file participationgraphs-0.1.1.tar.gz.

File metadata

File hashes

Hashes for participationgraphs-0.1.1.tar.gz
Algorithm Hash digest
SHA256 05ce4954beca8e6db66f216edc74a6e8417fbfbd04d784e1d6f70c7b7583b5ce
MD5 51bbff3449e158ef8fb055347ca48a76
BLAKE2b-256 4bde222dc9f74e474cd34f01b0d9fc78d528b98e4d85725cc176fff54bb46640

See more details on using hashes here.

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