Does FastAPI Work With GitHub Actions?
FastAPI and GitHub Actions integrate seamlessly for building, testing, and deploying Python APIs with automated CI/CD pipelines.
Quick Facts
How FastAPI Works With GitHub Actions
FastAPI works exceptionally well with GitHub Actions because both are modern, Python-native tools designed for developer velocity. GitHub Actions can run on every push or pull request to lint your code with Ruff, run pytest against your FastAPI endpoints, and generate coverage reports. The workflow runs in an isolated Ubuntu/macOS/Windows container where you install FastAPI via pip, spin up a test server, and make HTTP requests against it—all without leaving GitHub. For deployment, Actions can build Docker images of your FastAPI app, push them to registries like Docker Hub or GitHub Container Registry, and deploy to services like AWS ECS, Railway, or Render. The developer experience is excellent: write a `.github/workflows/test.yml` file, commit it, and every PR automatically validates your code. FastAPI's automatic OpenAPI documentation generation means you can even run schema validation tests in your CI pipeline. The only architectural consideration is managing secrets securely (database URLs, API keys) through GitHub's encrypted secrets rather than committing them.
Best Use Cases
Basic FastAPI Test & Deploy Workflow
N/A - this is a workflow file, place in .github/workflows/test.ymlname: FastAPI CI/CD
on:
push:
branches: [main, develop]
pull_request:
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-python@v4
with:
python-version: '3.11'
cache: 'pip'
- run: pip install -r requirements.txt pytest httpx
- run: pytest tests/ --cov=app
- name: Run FastAPI server health check
run: |
python -m pytest tests/test_api.py::test_health_endpoint
deploy:
needs: test
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v3
- name: Build and push Docker image
run: |
docker build -t myapp:${{ github.sha }} .
docker push myapp:${{ github.sha }}Known Issues & Gotchas
Async tests fail or hang in CI if pytest-asyncio isn't configured correctly
Fix: Add `pytest.ini` with `asyncio_mode = auto` and ensure you're using `pytest-asyncio` package in your test environment
Dependencies cached between runs can cause version conflicts or outdated packages in CI
Fix: Use `actions/setup-python@v4` with explicit `cache: 'pip'` and clear cache if you update requirements.txt
GitHub Actions runners have limited free minutes (2000/month on public repos), and heavy workloads or matrix builds can exhaust quota
Fix: Use workflow concurrency, matrix strategies wisely, and consider GitHub-hosted runners only for critical checks; cache dependencies aggressively
Environment variable secrets aren't available during workflow file parsing, leading to hardcoded values or missing config in logs
Fix: Use GitHub Secrets (Settings > Secrets) and reference them with `${{ secrets.NAME }}` in your workflow YAML
Alternatives
- •GitLab CI + FastAPI: Native YAML pipelines with similar capabilities, better for on-premise GitLab instances
- •Jenkins + FastAPI: More control and flexibility for complex workflows, heavier setup and maintenance overhead
- •CircleCI + FastAPI: Generous free tier, excellent caching, better parallelization than GitHub Actions basic tier
Resources
Related Compatibility Guides
Explore more compatibility guides