home / skills / krosebrook / source-of-truth-monorepo / python-packaging

This skill guides you in creating, structuring, and publishing Python packages with modern pyproject.toml setup and PyPI distribution mechanisms.

This is most likely a fork of the python-packaging skill from eyh0602
npx playbooks add skill krosebrook/source-of-truth-monorepo --skill python-packaging

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---
name: python-packaging
description: Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
---

# Python Packaging

Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.

## When to Use This Skill

- Creating Python libraries for distribution
- Building command-line tools with entry points
- Publishing packages to PyPI or private repositories
- Setting up Python project structure
- Creating installable packages with dependencies
- Building wheels and source distributions
- Versioning and releasing Python packages
- Creating namespace packages
- Implementing package metadata and classifiers

## Core Concepts

### 1. Package Structure
- **Source layout**: `src/package_name/` (recommended)
- **Flat layout**: `package_name/` (simpler but less flexible)
- **Package metadata**: pyproject.toml, setup.py, or setup.cfg
- **Distribution formats**: wheel (.whl) and source distribution (.tar.gz)

### 2. Modern Packaging Standards
- **PEP 517/518**: Build system requirements
- **PEP 621**: Metadata in pyproject.toml
- **PEP 660**: Editable installs
- **pyproject.toml**: Single source of configuration

### 3. Build Backends
- **setuptools**: Traditional, widely used
- **hatchling**: Modern, opinionated
- **flit**: Lightweight, for pure Python
- **poetry**: Dependency management + packaging

### 4. Distribution
- **PyPI**: Python Package Index (public)
- **TestPyPI**: Testing before production
- **Private repositories**: JFrog, AWS CodeArtifact, etc.

## Quick Start

### Minimal Package Structure

```
my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── src/
│   └── my_package/
│       ├── __init__.py
│       └── module.py
└── tests/
    └── test_module.py
```

### Minimal pyproject.toml

```toml
[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
version = "0.1.0"
description = "A short description"
authors = [{name = "Your Name", email = "[email protected]"}]
readme = "README.md"
requires-python = ">=3.8"
dependencies = [
    "requests>=2.28.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "black>=22.0",
]
```

## Package Structure Patterns

### Pattern 1: Source Layout (Recommended)

```
my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── .gitignore
├── src/
│   └── my_package/
│       ├── __init__.py
│       ├── core.py
│       ├── utils.py
│       └── py.typed          # For type hints
├── tests/
│   ├── __init__.py
│   ├── test_core.py
│   └── test_utils.py
└── docs/
    └── index.md
```

**Advantages:**
- Prevents accidentally importing from source
- Cleaner test imports
- Better isolation

**pyproject.toml for source layout:**
```toml
[tool.setuptools.packages.find]
where = ["src"]
```

### Pattern 2: Flat Layout

```
my-package/
├── pyproject.toml
├── README.md
├── my_package/
│   ├── __init__.py
│   └── module.py
└── tests/
    └── test_module.py
```

**Simpler but:**
- Can import package without installing
- Less professional for libraries

### Pattern 3: Multi-Package Project

```
project/
├── pyproject.toml
├── packages/
│   ├── package-a/
│   │   └── src/
│   │       └── package_a/
│   └── package-b/
│       └── src/
│           └── package_b/
└── tests/
```

## Complete pyproject.toml Examples

### Pattern 4: Full-Featured pyproject.toml

```toml
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "my-awesome-package"
version = "1.0.0"
description = "An awesome Python package"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [
    {name = "Your Name", email = "[email protected]"},
]
maintainers = [
    {name = "Maintainer Name", email = "[email protected]"},
]
keywords = ["example", "package", "awesome"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
]

dependencies = [
    "requests>=2.28.0,<3.0.0",
    "click>=8.0.0",
    "pydantic>=2.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "black>=23.0.0",
    "ruff>=0.1.0",
    "mypy>=1.0.0",
]
docs = [
    "sphinx>=5.0.0",
    "sphinx-rtd-theme>=1.0.0",
]
all = [
    "my-awesome-package[dev,docs]",
]

[project.urls]
Homepage = "https://github.com/username/my-awesome-package"
Documentation = "https://my-awesome-package.readthedocs.io"
Repository = "https://github.com/username/my-awesome-package"
"Bug Tracker" = "https://github.com/username/my-awesome-package/issues"
Changelog = "https://github.com/username/my-awesome-package/blob/main/CHANGELOG.md"

[project.scripts]
my-cli = "my_package.cli:main"
awesome-tool = "my_package.tools:run"

[project.entry-points."my_package.plugins"]
plugin1 = "my_package.plugins:plugin1"

[tool.setuptools]
package-dir = {"" = "src"}
zip-safe = false

[tool.setuptools.packages.find]
where = ["src"]
include = ["my_package*"]
exclude = ["tests*"]

[tool.setuptools.package-data]
my_package = ["py.typed", "*.pyi", "data/*.json"]

# Black configuration
[tool.black]
line-length = 100
target-version = ["py38", "py39", "py310", "py311"]
include = '\.pyi?$'

# Ruff configuration
[tool.ruff]
line-length = 100
target-version = "py38"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]

# MyPy configuration
[tool.mypy]
python_version = "3.8"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true

# Pytest configuration
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "-v --cov=my_package --cov-report=term-missing"

# Coverage configuration
[tool.coverage.run]
source = ["src"]
omit = ["*/tests/*"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "raise AssertionError",
    "raise NotImplementedError",
]
```

### Pattern 5: Dynamic Versioning

```toml
[build-system]
requires = ["setuptools>=61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
dynamic = ["version"]
description = "Package with dynamic version"

[tool.setuptools.dynamic]
version = {attr = "my_package.__version__"}

# Or use setuptools-scm for git-based versioning
[tool.setuptools_scm]
write_to = "src/my_package/_version.py"
```

**In __init__.py:**
```python
# src/my_package/__init__.py
__version__ = "1.0.0"

# Or with setuptools-scm
from importlib.metadata import version
__version__ = version("my-package")
```

## Command-Line Interface (CLI) Patterns

### Pattern 6: CLI with Click

```python
# src/my_package/cli.py
import click

@click.group()
@click.version_option()
def cli():
    """My awesome CLI tool."""
    pass

@cli.command()
@click.argument("name")
@click.option("--greeting", default="Hello", help="Greeting to use")
def greet(name: str, greeting: str):
    """Greet someone."""
    click.echo(f"{greeting}, {name}!")

@cli.command()
@click.option("--count", default=1, help="Number of times to repeat")
def repeat(count: int):
    """Repeat a message."""
    for i in range(count):
        click.echo(f"Message {i + 1}")

def main():
    """Entry point for CLI."""
    cli()

if __name__ == "__main__":
    main()
```

**Register in pyproject.toml:**
```toml
[project.scripts]
my-tool = "my_package.cli:main"
```

**Usage:**
```bash
pip install -e .
my-tool greet World
my-tool greet Alice --greeting="Hi"
my-tool repeat --count=3
```

### Pattern 7: CLI with argparse

```python
# src/my_package/cli.py
import argparse
import sys

def main():
    """Main CLI entry point."""
    parser = argparse.ArgumentParser(
        description="My awesome tool",
        prog="my-tool"
    )

    parser.add_argument(
        "--version",
        action="version",
        version="%(prog)s 1.0.0"
    )

    subparsers = parser.add_subparsers(dest="command", help="Commands")

    # Add subcommand
    process_parser = subparsers.add_parser("process", help="Process data")
    process_parser.add_argument("input_file", help="Input file path")
    process_parser.add_argument(
        "--output", "-o",
        default="output.txt",
        help="Output file path"
    )

    args = parser.parse_args()

    if args.command == "process":
        process_data(args.input_file, args.output)
    else:
        parser.print_help()
        sys.exit(1)

def process_data(input_file: str, output_file: str):
    """Process data from input to output."""
    print(f"Processing {input_file} -> {output_file}")

if __name__ == "__main__":
    main()
```

## Building and Publishing

### Pattern 8: Build Package Locally

```bash
# Install build tools
pip install build twine

# Build distribution
python -m build

# This creates:
# dist/
#   my-package-1.0.0.tar.gz (source distribution)
#   my_package-1.0.0-py3-none-any.whl (wheel)

# Check the distribution
twine check dist/*
```

### Pattern 9: Publishing to PyPI

```bash
# Install publishing tools
pip install twine

# Test on TestPyPI first
twine upload --repository testpypi dist/*

# Install from TestPyPI to test
pip install --index-url https://test.pypi.org/simple/ my-package

# If all good, publish to PyPI
twine upload dist/*
```

**Using API tokens (recommended):**
```bash
# Create ~/.pypirc
[distutils]
index-servers =
    pypi
    testpypi

[pypi]
username = __token__
password = pypi-...your-token...

[testpypi]
username = __token__
password = pypi-...your-test-token...
```

### Pattern 10: Automated Publishing with GitHub Actions

```yaml
# .github/workflows/publish.yml
name: Publish to PyPI

on:
  release:
    types: [created]

jobs:
  publish:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v3

      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: "3.11"

      - name: Install dependencies
        run: |
          pip install build twine

      - name: Build package
        run: python -m build

      - name: Check package
        run: twine check dist/*

      - name: Publish to PyPI
        env:
          TWINE_USERNAME: __token__
          TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
        run: twine upload dist/*
```

## Advanced Patterns

### Pattern 11: Including Data Files

```toml
[tool.setuptools.package-data]
my_package = [
    "data/*.json",
    "templates/*.html",
    "static/css/*.css",
    "py.typed",
]
```

**Accessing data files:**
```python
# src/my_package/loader.py
from importlib.resources import files
import json

def load_config():
    """Load configuration from package data."""
    config_file = files("my_package").joinpath("data/config.json")
    with config_file.open() as f:
        return json.load(f)

# Python 3.9+
from importlib.resources import files

data = files("my_package").joinpath("data/file.txt").read_text()
```

### Pattern 12: Namespace Packages

**For large projects split across multiple repositories:**

```
# Package 1: company-core
company/
└── core/
    ├── __init__.py
    └── models.py

# Package 2: company-api
company/
└── api/
    ├── __init__.py
    └── routes.py
```

**Do NOT include __init__.py in the namespace directory (company/):**

```toml
# company-core/pyproject.toml
[project]
name = "company-core"

[tool.setuptools.packages.find]
where = ["."]
include = ["company.core*"]

# company-api/pyproject.toml
[project]
name = "company-api"

[tool.setuptools.packages.find]
where = ["."]
include = ["company.api*"]
```

**Usage:**
```python
# Both packages can be imported under same namespace
from company.core import models
from company.api import routes
```

### Pattern 13: C Extensions

```toml
[build-system]
requires = ["setuptools>=61.0", "wheel", "Cython>=0.29"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
ext-modules = [
    {name = "my_package.fast_module", sources = ["src/fast_module.c"]},
]
```

**Or with setup.py:**
```python
# setup.py
from setuptools import setup, Extension

setup(
    ext_modules=[
        Extension(
            "my_package.fast_module",
            sources=["src/fast_module.c"],
            include_dirs=["src/include"],
        )
    ]
)
```

## Version Management

### Pattern 14: Semantic Versioning

```python
# src/my_package/__init__.py
__version__ = "1.2.3"

# Semantic versioning: MAJOR.MINOR.PATCH
# MAJOR: Breaking changes
# MINOR: New features (backward compatible)
# PATCH: Bug fixes
```

**Version constraints in dependencies:**
```toml
dependencies = [
    "requests>=2.28.0,<3.0.0",  # Compatible range
    "click~=8.1.0",              # Compatible release (~= 8.1.0 means >=8.1.0,<8.2.0)
    "pydantic>=2.0",             # Minimum version
    "numpy==1.24.3",             # Exact version (avoid if possible)
]
```

### Pattern 15: Git-Based Versioning

```toml
[build-system]
requires = ["setuptools>=61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
dynamic = ["version"]

[tool.setuptools_scm]
write_to = "src/my_package/_version.py"
version_scheme = "post-release"
local_scheme = "dirty-tag"
```

**Creates versions like:**
- `1.0.0` (from git tag)
- `1.0.1.dev3+g1234567` (3 commits after tag)

## Testing Installation

### Pattern 16: Editable Install

```bash
# Install in development mode
pip install -e .

# With optional dependencies
pip install -e ".[dev]"
pip install -e ".[dev,docs]"

# Now changes to source code are immediately reflected
```

### Pattern 17: Testing in Isolated Environment

```bash
# Create virtual environment
python -m venv test-env
source test-env/bin/activate  # Linux/Mac
# test-env\Scripts\activate  # Windows

# Install package
pip install dist/my_package-1.0.0-py3-none-any.whl

# Test it works
python -c "import my_package; print(my_package.__version__)"

# Test CLI
my-tool --help

# Cleanup
deactivate
rm -rf test-env
```

## Documentation

### Pattern 18: README.md Template

```markdown
# My Package

[![PyPI version](https://badge.fury.io/py/my-package.svg)](https://pypi.org/project/my-package/)
[![Python versions](https://img.shields.io/pypi/pyversions/my-package.svg)](https://pypi.org/project/my-package/)
[![Tests](https://github.com/username/my-package/workflows/Tests/badge.svg)](https://github.com/username/my-package/actions)

Brief description of your package.

## Installation

```bash
pip install my-package
```

## Quick Start

```python
from my_package import something

result = something.do_stuff()
```

## Features

- Feature 1
- Feature 2
- Feature 3

## Documentation

Full documentation: https://my-package.readthedocs.io

## Development

```bash
git clone https://github.com/username/my-package.git
cd my-package
pip install -e ".[dev]"
pytest
```

## License

MIT
```

## Common Patterns

### Pattern 19: Multi-Architecture Wheels

```yaml
# .github/workflows/wheels.yml
name: Build wheels

on: [push, pull_request]

jobs:
  build_wheels:
    name: Build wheels on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [ubuntu-latest, windows-latest, macos-latest]

    steps:
      - uses: actions/checkout@v3

      - name: Build wheels
        uses: pypa/[email protected]

      - uses: actions/upload-artifact@v3
        with:
          path: ./wheelhouse/*.whl
```

### Pattern 20: Private Package Index

```bash
# Install from private index
pip install my-package --index-url https://private.pypi.org/simple/

# Or add to pip.conf
[global]
index-url = https://private.pypi.org/simple/
extra-index-url = https://pypi.org/simple/

# Upload to private index
twine upload --repository-url https://private.pypi.org/ dist/*
```

## File Templates

### .gitignore for Python Packages

```gitignore
# Build artifacts
build/
dist/
*.egg-info/
*.egg
.eggs/

# Python
__pycache__/
*.py[cod]
*$py.class
*.so

# Virtual environments
venv/
env/
ENV/

# IDE
.vscode/
.idea/
*.swp

# Testing
.pytest_cache/
.coverage
htmlcov/

# Distribution
*.whl
*.tar.gz
```

### MANIFEST.in

```
# MANIFEST.in
include README.md
include LICENSE
include pyproject.toml

recursive-include src/my_package/data *.json
recursive-include src/my_package/templates *.html
recursive-exclude * __pycache__
recursive-exclude * *.py[co]
```

## Checklist for Publishing

- [ ] Code is tested (pytest passing)
- [ ] Documentation is complete (README, docstrings)
- [ ] Version number updated
- [ ] CHANGELOG.md updated
- [ ] License file included
- [ ] pyproject.toml is complete
- [ ] Package builds without errors
- [ ] Installation tested in clean environment
- [ ] CLI tools work (if applicable)
- [ ] PyPI metadata is correct (classifiers, keywords)
- [ ] GitHub repository linked
- [ ] Tested on TestPyPI first
- [ ] Git tag created for release

## Resources

- **Python Packaging Guide**: https://packaging.python.org/
- **PyPI**: https://pypi.org/
- **TestPyPI**: https://test.pypi.org/
- **setuptools documentation**: https://setuptools.pypa.io/
- **build**: https://pypa-build.readthedocs.io/
- **twine**: https://twine.readthedocs.io/

## Best Practices Summary

1. **Use src/ layout** for cleaner package structure
2. **Use pyproject.toml** for modern packaging
3. **Pin build dependencies** in build-system.requires
4. **Version appropriately** with semantic versioning
5. **Include all metadata** (classifiers, URLs, etc.)
6. **Test installation** in clean environments
7. **Use TestPyPI** before publishing to PyPI
8. **Document thoroughly** with README and docstrings
9. **Include LICENSE** file
10. **Automate publishing** with CI/CD

Overview

This skill helps you create professional, distributable Python packages using modern tooling and best practices. It guides project layout, pyproject.toml/setup configuration, building wheels and sdist, and publishing to PyPI or private registries. Use it to build libraries, CLIs, or multi-package monorepos with reliable versioning and CI-driven releases.

How this skill works

The skill inspects and applies recommended package layouts (source vs flat), generates or validates pyproject.toml and build-system configuration, and wires entry points for CLIs. It covers build backends (setuptools, hatchling, flit, poetry), packaging metadata (PEP 621), packaging data files, and dynamic versioning options. It also provides commands and CI patterns for local builds, twine checks, and automated publishing to TestPyPI/PyPI.

When to use it

  • When preparing a Python library for public or private distribution
  • When creating a CLI and exposing entry points/scripts
  • When consolidating multiple packages in a monorepo
  • Before publishing releases to TestPyPI or PyPI
  • When adding type hints, package data, or C extensions

Best practices

  • Prefer src/ source layout to avoid accidental imports during tests
  • Use pyproject.toml as the single source of packaging configuration (PEP 517/518/621)
  • Pin build tooling minimally and declare runtime dependency ranges using semantic versioning
  • Test builds on TestPyPI and run twine check before publishing to production PyPI
  • Automate builds and uploads with CI (GitHub Actions) and API tokens for security

Example use cases

  • Create a small library with src/ layout, pyproject.toml, and publish a first release to TestPyPI
  • Package a Click-based CLI and expose a script via [project.scripts] for pip-installed entry points
  • Set up a multi-package monorepo that publishes several namespace packages under a common namespace
  • Add dynamic versioning via setuptools-scm to generate versions from git tags during CI releases
  • Include JSON/template assets in package-data and use importlib.resources to load them at runtime

FAQ

Should I use src/ layout or flat layout?

Prefer src/ for libraries to prevent accidental local imports during tests; flat layout can be fine for simple apps.

How do I test a package before publishing?

Build with python -m build, upload to TestPyPI with twine upload --repository testpypi, install from TestPyPI, and run smoke tests and CLI checks.