Setting up a local copy of the Wagtail git repository is slightly more involved than running a release package of Wagtail, as it requires Node.js and NPM for building Javascript and CSS assets. (This is not required when running a release version, as the compiled assets are included in the release package.)

If you’re happy to develop on a virtual machine, the vagrant-wagtail-develop setup script is the fastest way to get up and running. This will provide you with a running instance of the Wagtail demo site, with the Wagtail and wagtaildemo codebases available as shared folders for editing on your host machine.

(Build scripts for other platforms would be very much welcomed - if you create one, please let us know via the Wagtail Developers group!)

If you’d prefer to set up all the components manually, read on. These instructions assume that you’re familiar with using pip and virtualenv to manage Python packages.

Setting up the Wagtail codebase

Install Node.js, version 4.x, 5.x or 6.x. Instructions for installing Node.js can be found on the Node.js download page. You will also need to install the libjpeg and zlib libraries, if you haven’t done so already - see Pillow’s platform-specific installation instructions.

Clone a copy of the Wagtail codebase:

$ git clone
$ cd wagtail

With your preferred virtualenv activated, install the Wagtail package in development mode with the included testing and documentation dependencies:

$ pip install -e .[testing,docs] -U

Install the tool chain for building static assets:

$ npm install

Compile the assets:

$ npm run build

Any Wagtail sites you start up in this virtualenv will now run against this development instance of Wagtail. We recommend using the Wagtail demo site as a basis for developing Wagtail.


From the root of the Wagtail codebase, run the following command to run all the tests:

$ python

Running only some of the tests

At the time of writing, Wagtail has well over 2500 tests, which takes a while to run. You can run tests for only one part of Wagtail by passing in the path as an argument to

$ python wagtail.wagtailcore

You can also run tests for individual TestCases by passing in the path as an argument to

$ python wagtail.wagtailcore.tests.test_blocks.TestIntegerBlock

Testing against PostgreSQL

By default, Wagtail tests against SQLite. You can switch to using PostgreSQL by using the --postgres argument:

$ python --postgres

If you need to use a different user, password or host. Use the PGUSER, PGPASSWORD and PGHOST environment variables.

Testing against a different database

If you need to test against a different database, set the DATABASE_ENGINE environment variable to the name of the Django database backend to test against:

$ DATABASE_ENGINE=django.db.backends.mysql python

This will create a new database called test_wagtail in MySQL and run the tests against it.

Testing Elasticsearch

You can test Wagtail against Elasticsearch by passing the --elasticsearch argument to

$ python --elasticsearch

Wagtail will attempt to connect to a local instance of Elasticsearch (http://localhost:9200) and use the index test_wagtail.

If your Elasticsearch instance is located somewhere else, you can set the ELASTICSEARCH_URL environment variable to point to its location:

$ ELASTICSEARCH_URL=http://my-elasticsearch-instance:9200 python --elasticsearch

Compiling static assets

All static assets such as JavaScript, CSS, images, and fonts for the Wagtail admin are compiled from their respective sources by gulp. The compiled assets are not committed to the repository, and are compiled before packaging each new release. Compiled assets should not be submitted as part of a pull request.

To compile the assets, run:

$ npm run build

This must be done after every change to the source files. To watch the source files for changes and then automatically recompile the assets, run:

$ npm start

Compiling the documentation

The Wagtail documentation is built by Sphinx. To install Sphinx and compile the documentation, run:

$ cd /path/to/wagtail
$ # Install the documentation dependencies
$ pip install -e .[docs]
$ # Compile the docs
$ cd docs/
$ make html

The compiled documentation will now be in docs/_build/html. Open this directory in a web browser to see it. Python comes with a module that makes it very easy to preview static files in a web browser. To start this simple server, run the following commands:

$ cd docs/_build/html/
$ # Python 2
$ python2 -mSimpleHTTPServer 8080
$ # Python 3
$ python3 -mhttp.server 8080

Now you can open <http://localhost:8080/> in your web browser to see the compiled documentation.

Sphinx caches the built documentation to speed up subsequent compilations. Unfortunately, this cache also hides any warnings thrown by unmodified documentation source files. To clear the built HTML and start fresh, so you can see all warnings thrown when building the documentation, run:

$ cd docs/
$ make clean
$ make html