Does Django Work With GitHub Actions?
Django and GitHub Actions work together seamlessly for automated testing, deployment, and code quality checks directly from your repository.
Quick Facts
How Django Works With GitHub Actions
Django integrates naturally with GitHub Actions through standard CI/CD workflows. You define YAML workflow files in your repository that run Django's test suite, perform linting, and deploy applications on push events or pull requests. GitHub Actions provides free minutes for public repositories and can execute multiple Python versions simultaneously, making it ideal for testing Django code across different environments. The workflow runner installs dependencies via pip, executes `manage.py test` or pytest, and reports results directly in pull requests. Developers benefit from immediate feedback on code quality without managing separate CI infrastructure. You can integrate with Django's ORM, manage database migrations in workflows, and run coverage reports. The main consideration is that GitHub Actions runs on ephemeral containers, so you'll use temporary SQLite databases or services like PostgreSQL containers for realistic testing. Secrets management is handled through GitHub's encrypted environment variables, making it safe to store database credentials or deployment tokens.
Best Use Cases
Django Test Workflow with PostgreSQL
pip install django pytest pytest-django psycopg2-binaryname: Django Tests
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
services:
postgres:
image: postgres:14
env:
POSTGRES_PASSWORD: postgres
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
ports:
- 5432:5432
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.11'
- run: pip install -r requirements.txt
- run: python manage.py migrate
- run: python manage.py test
env:
DATABASE_URL: postgres://postgres:postgres@localhost:5432/test_dbKnown Issues & Gotchas
Database state not persisting between workflow steps
Fix: Use Docker services for PostgreSQL/MySQL or rely on Django's test database isolation. Seed data in fixtures or migrations that run during test setup.
Long test suites timing out (default 360 minutes per job, but can feel slow)
Fix: Split tests across multiple jobs using matrix strategy, use pytest-xdist for parallel execution, or optimize slow database queries.
Environment variables and secrets not available in workflows by default
Fix: Define secrets in GitHub repository settings and reference them as `${{ secrets.SECRET_NAME }}` in workflow YAML. Use `.env.example` for documentation.
Static files and media uploads fail during testing
Fix: Set `STATIC_ROOT` and `MEDIA_ROOT` to temporary directories, or use `collectstatic --noinput` before tests run.
Alternatives
- •GitLab CI/CD with Django - native `.gitlab-ci.yml` integration, similar setup complexity
- •CircleCI with Django - more advanced configuration options, better caching for large projects
- •Jenkins with Django - self-hosted solution offering more control but higher maintenance overhead
Resources
Related Compatibility Guides
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