E526 feat: migrate to uv for faster dependency management by edmundmiller · Pull Request #3388 · MultiQC/MultiQC · GitHub
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Summary

Migrates MultiQC to use uv for 10-100x faster dependency management while maintaining full backward compatibility with pip.

Design Decision: Using [project.optional-dependencies] Only

This migration uses [project.optional-dependencies] instead of the newer [dependency-groups] (PEP 735) because:

  1. uv fully supports [project.optional-dependencies] via --extra or --all-extras flags
  2. Maintains backward compatibility with pip, poetry, pdm, and all other tools
  3. Single source of truth - no risk of dependency drift between two lists
  4. Simpler maintenance - one list to update, not two
  5. Still gets all uv benefits - 10-100x faster resolution, deterministic builds, etc.

The only "cost" is typing --all-extras instead of --group dev, which is negligible compared to avoiding maintenance complexity.

Changes

Commit 1: Core uv setup

  • Add uv.lock lockfile for deterministic builds (179 packages)
  • Update Python requirement to >=3.9 (EOL 3.8, numpy 1.26+ compatibility)
  • Add numpy>=1.26.0 constraint for Python 3.12+ support
  • Add helpful comment in pyproject.toml showing both pip and uv usage

Commit 2: Update Dockerfile

  • Copy uv binary from official ghcr.io/astral-sh/uv image
  • Optimize Docker layer caching (dependencies separate from source)
  • Replace pip with uv pip install for faster builds
  • Use --system flag for container Python environment

Commit 3: Update CI workflows

  • Add astral-sh/setup-uv@v5 action to all workflows
  • Replace pip install with uv sync --all-extras
  • Update Python 3.8→3.9 in integration tests
  • Use uv run for all command execution

Commit 4: Update documentation

  • Add uv installation instructions to README.md
  • Update CLAUDE.md with uv commands for all workflows
  • Show both uv and pip methods side-by-side
  • Mark uv as recommended

Commit 5: Update .gitignore

  • Add .venv (uv default virtual environment)
  • Add .python-version (uv Python version management)

Benefits

  • 10-100x faster dependency resolution
  • 🔒 Deterministic builds with uv.lock
  • Full backward compatibility - pip still works perfectly!
  • 🚀 Faster CI/CD - reduced workflow execution times
  • 📦 Better Docker caching - optimized layer structure
  • 🎯 No maintenance burden - single dependency list

Testing

  • uv sync --all-extras works (installed 172 packages)
  • uv run pytest --version verified
  • uv run pre-commit --version verified
  • ✅ uv.lock generated successfully
  • ✅ Backward compatibility maintained (pip still supported)

Usage

# Using uv (recommended - 10-100x faster)
uv sync --all-extras

# Using pip (traditional method - still works!)
pip install -e '.[dev]'

🤖 Generated with Claude Code

Co-Authored-By: Claude noreply@anthropic.com

- Generate uv.lock lockfile for deterministic builds (179 packages)
- Update Python requirement to >=3.9 (EOL 3.8, numpy 1.26+ compatibility)
- Add numpy>=1.26.0 constraint for Python 3.12+ support
- Add helpful comment showing both pip and uv usage

Key insight: uv fully supports [project.optional-dependencies]!
- No need for [dependency-groups] duplication
- Works with both: pip install -e '.[dev]' and uv sync --extra dev
- Single source of truth, no maintenance burden

Benefits:
- 10-100x faster dependency resolution with uv
- Deterministic builds via uv.lock
- Full backward compatibility - pip still works perfectly
- Aligns with tested Python versions (3.9, 3.14 in CI)
- No dependency drift risk
- Copy uv binary from official ghcr.io/astral-sh/uv image
- Copy pyproject.toml and uv.lock first for better layer caching
- Replace pip with uv pip install for dependency installation
- Split dependency installation and package installation into separate layers
- Use --system flag to install into system Python (no venv needed in container)

Benefits:
- 10-100x faster dependency resolution during builds
- Better Docker layer caching (dependencies cached separately from source)
- Deterministic builds using uv.lock
- Smaller image rebuild time when only source code changes
Updated workflows to use uv for faster CI/CD:
- unit_tests.yml: Use uv sync and uv run for tests
- lint_code.yml: Add uv setup, use uv pip install for dependencies
- mypy.yml: Use uv sync and uv run for type checking
- integration_test.yml: Update Python 3.8→3.9, use uv pip install

Changes:
- Add astral-sh/setup-uv@v5 action after setup-python
- Replace 'pip install -e .[dev]' with 'uv sync --all-extras'
- Replace 'pip install' with 'uv pip install --system'
- Replace direct command execution with 'uv run <command>'
- Remove pip cache since uv manages its own cache
- Update Python version from 3.8 to 3.9 (min supported version)

Note: Using --all-extras instead of --group because we're using
[project.optional-dependencies] for compatibility with both pip and uv.

Benefits:
- 10-100x faster dependency resolution in CI
- Automatic caching of uv dependencies by setup-uv action
- Consistent environment between local dev and CI
- Reduced CI workflow execution time
Updated documentation to recommend uv as the primary installation method:

README.md changes:
- Add new 'Using uv (recommended)' section first
- Include uv installation command
- Reorganize installation sections (uv, pip, conda)
- Add uv examples for development version installation
- Maintain backward compatibility with all existing methods

CLAUDE.md changes:
- Reorganize commands by workflow (install, test, lint, run)
- Add 'Using uv' subsections for all command categories
- Show both uv and pip/traditional methods side-by-side
- Mark uv as recommended with performance note (10-100x faster)
- Use 'uv sync --all-extras' (works with [project.optional-dependencies])

Benefits:
- Users can easily adopt uv for faster dependency management
- Clear migration path from pip to uv
- Full backward compatibility maintained
- Single dependency list in pyproject.toml (no duplication)
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