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Third Party Packages

Software ecosystems […] establish a community that further accelerates the sharing of knowledge, content, issues, expertise and skills.

— Jan Bosch.

About Third Party Packages

Third Party Packages allow developers to share code that extends the functionality of Django REST framework, in order to support additional use-cases.

We support, encourage and strongly favor the creation of Third Party Packages to encapsulate new behavior rather than adding additional functionality directly to Django REST Framework.

We aim to make creating third party packages as easy as possible, whilst keeping a simple and well maintained core API. By promoting third party packages we ensure that the responsibility for a package remains with its author. If a package proves suitably popular it can always be considered for inclusion into the core REST framework.

If you have an idea for a new feature please consider how it may be packaged as a Third Party Package. We're always happy to discuss ideas on the Mailing List.

How to create a Third Party Package

Creating your package

You can use this cookiecutter template for creating reusable Django REST Framework packages quickly. Cookiecutter creates projects from project templates. While optional, this cookiecutter template includes best practices from Django REST framework and other packages, as well as a Travis CI configuration, Tox configuration, and a sane setup.py for easy PyPI registration/distribution.

Note: Let us know if you have an alternate cookiecuter package so we can also link to it.

Running the initial cookiecutter command

To run the initial cookiecutter command, you'll first need to install the Python cookiecutter package.

$ pip install cookiecutter

Once cookiecutter is installed just run the following to create a new project.

$ cookiecutter gh:jpadilla/cookiecutter-django-rest-framework

You'll be prompted for some questions, answer them, then it'll create your Python package in the current working directory based on those values.

full_name (default is "Your full name here")? Johnny Appleseed
email (default is "you@example.com")? jappleseed@example.com
github_username (default is "yourname")? jappleseed
pypi_project_name (default is "dj-package")? djangorestframework-custom-auth
repo_name (default is "dj-package")? django-rest-framework-custom-auth
app_name (default is "djpackage")? custom_auth
project_short_description (default is "Your project description goes here")?
year (default is "2014")?
version (default is "0.1.0")?

Getting it onto GitHub

To put your project up on GitHub, you'll need a repository for it to live in. You can create a new repository here. If you need help, check out the Create A Repo article on GitHub.

Adding to Travis CI

We recommend using Travis CI, a hosted continuous integration service which integrates well with GitHub and is free for public repositories.

To get started with Travis CI, sign in with your GitHub account. Once you're signed in, go to your profile page and enable the service hook for the repository you want.

If you use the cookiecutter template, your project will already contain a .travis.yml file which Travis CI will use to build your project and run tests. By default, builds are triggered everytime you push to your repository or create Pull Request.

Uploading to PyPI

Once you've got at least a prototype working and tests running, you should publish it on PyPI to allow others to install it via pip.

You must register an account before publishing to PyPI.

To register your package on PyPI run the following command.

$ python setup.py register

If this is the first time publishing to PyPI, you'll be prompted to login.

Note: Before publishing you'll need to make sure you have the latest pip that supports wheel as well as install the wheel package.

$ pip install --upgrade pip
$ pip install wheel

After this, every time you want to release a new version on PyPI just run the following command.

$ python setup.py publish
You probably want to also tag the version now:
    git tag -a {0} -m 'version 0.1.0'
    git push --tags

After releasing a new version to PyPI, it's always a good idea to tag the version and make available as a GitHub Release.

We recommend to follow Semantic Versioning for your package's versions.

Development

Version requirements

The cookiecutter template assumes a set of supported versions will be provided for Python and Django. Make sure you correctly update your requirements, docs, tox.ini, .travis.yml, and setup.py to match the set of versions you wish to support.

Tests

The cookiecutter template includes a runtests.py which uses the pytest package as a test runner.

Before running, you'll need to install a couple test requirements.

$ pip install -r requirements.txt

Once requirements installed, you can run runtests.py.

$ ./runtests.py

Run using a more concise output style.

$ ./runtests.py -q

Run the tests using a more concise output style, no coverage, no flake8.

$ ./runtests.py --fast

Don't run the flake8 code linting.

$ ./runtests.py --nolint

Only run the flake8 code linting, don't run the tests.

$ ./runtests.py --lintonly

Run the tests for a given test case.

$ ./runtests.py MyTestCase

Run the tests for a given test method.

$ ./runtests.py MyTestCase.test_this_method

Shorter form to run the tests for a given test method.

$ ./runtests.py test_this_method

To run your tests against multiple versions of Python as different versions of requirements such as Django we recommend using tox. Tox is a generic virtualenv management and test command line tool.

First, install tox globally.

$ pip install tox

To run tox, just simply run:

$ tox

To run a particular tox environment:

$ tox -e envlist

envlist is a comma-separated value to that specifies the environments to run tests against. To view a list of all possible test environments, run:

$ tox -l

Version compatibility

Sometimes, in order to ensure your code works on various different versions of Django, Python or third party libraries, you'll need to run slightly different code depending on the environment. Any code that branches in this way should be isolated into a compat.py module, and should provide a single common interface that the rest of the codebase can use.

Check out Django REST framework's compat.py for an example.

Once your package is available

Once your package is decently documented and available on PyPI, you might want share it with others that might find it useful.

Adding to the Django REST framework grid

We suggest adding your package to the REST Framework grid on Django Packages.

Adding to the Django REST framework docs

Create a Pull Request or Issue on GitHub, and we'll add a link to it from the main REST framework documentation. You can add your package under Third party packages of the API Guide section that best applies, like Authentication or Permissions. You can also link your package under the Third Party Packages section.

Announce on the discussion group.

You can also let others know about your package through the discussion group.

Existing Third Party Packages

Django REST Framework has a growing community of developers, packages, and resources.

Check out a grid detailing all the packages and ecosystem around Django REST Framework at Django Packages.

To submit new content, open an issue or create a pull request.

Authentication

  • djangorestframework-digestauth - Provides Digest Access Authentication support.
  • django-oauth-toolkit - Provides OAuth 2.0 support.
  • doac - Provides OAuth 2.0 support.
  • djangorestframework-jwt - Provides JSON Web Token Authentication support.
  • djangorestframework-simplejwt - An alternative package that provides JSON Web Token Authentication support.
  • hawkrest - Provides Hawk HTTP Authorization.
  • djangorestframework-httpsignature - Provides an easy to use HTTP Signature Authentication mechanism.
  • djoser - Provides a set of views to handle basic actions such as registration, login, logout, password reset and account activation.
  • django-rest-auth - Provides a set of REST API endpoints for registration, authentication (including social media authentication), password reset, retrieve and update user details, etc.
  • drf-oidc-auth - Implements OpenID Connect token authentication for DRF.
  • drfpasswordless - Adds (Medium, Square Cash inspired) passwordless logins and signups via email and mobile numbers.

Permissions

Serializers

Serializer fields

  • drf-compound-fields - Provides "compound" serializer fields, such as lists of simple values.
  • django-extra-fields - Provides extra serializer fields.
  • django-versatileimagefield - Provides a drop-in replacement for Django's stock ImageField that makes it easy to serve images in multiple sizes/renditions from a single field. For DRF-specific implementation docs, click here.

Views

  • djangorestframework-bulk - Implements generic view mixins as well as some common concrete generic views to allow to apply bulk operations via API requests.
  • django-rest-multiple-models - Provides a generic view (and mixin) for sending multiple serialized models and/or querysets via a single API request.

Routers

  • drf-nested-routers - Provides routers and relationship fields for working with nested resources.
  • wq.db.rest - Provides an admin-style model registration API with reasonable default URLs and viewsets.

Parsers

Renderers

  • djangorestframework-csv - Provides CSV renderer support.
  • djangorestframework-jsonapi - Provides a parser, renderer, serializers, and other tools to help build an API that is compliant with the jsonapi.org spec.
  • drf_ujson - Implements JSON rendering using the UJSON package.
  • rest-pandas - Pandas DataFrame-powered renderers including Excel, CSV, and SVG formats.

Filtering

  • djangorestframework-chain - Allows arbitrary chaining of both relations and lookup filters.
  • django-url-filter - Allows a safe way to filter data via human-friendly URLs. It is a generic library which is not tied to DRF but it provides easy integration with DRF.
  • drf-url-filter is a simple Django app to apply filters on drf ModelViewSet's Queryset in a clean, simple and configurable way. It also supports validations on incoming query params and their values.

Misc