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Pyrig is a toolkit that standardizes and automates Python project setup, configuration, development, and maintenance.

Project description

pyrig

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Pyrig is a toolkit that standardizes and automates Python project setup, configuration, development, and maintenance.


What is pyrig?

pyrig is a package and tool that rigs up your project. It scaffolds and initializes a complete, fully configured, installed and working Python project with one command and makes the process of developing and maintaining it more seamless and efficient by automating things like configuration management, CLI generation, testing infrastructure, and more.

Requirements

  • Python 3.12+
  • Git
  • uv

Quick Start

uv init
uv add pyrig
uv run pyrig init

See the Getting Started Guide for detailed setup instructions to also fully integrate with GitHub and CI/CD from the start.

Features

Project Scaffolding & Initialization

pyrig init generates a complete project in one command that works out of the box. This includes everything a modern python project needs:

  • Standardized directory structure
  • Fully configured dev tools (linters, formatters, type checkers, test frameworks, git hooks, etc.)
  • End-to-end CI/CD pipeline with GitHub Actions and integrated repository protection
  • Complete and working CLI
  • And much more...

File & Configuration Management

Every generated file is backed by a Python class that validates and merges automatically. Override any config by subclassing, or define entirely new config files — pyrig discovers and manages them for you. Run pyrig sync to create or update all config files at once. Run pyrig mk subcls to generate a subclass for overriding a specific file.

Automatic CLI

pyrig init sets up a CLI for your project that works immediately. Generate and add new commands by running pyrig mk cmd <name>. An automatic version command is included that shows the version of your project. Run my-project version to see it in action.

Mirror Test Generation & Maintenance

Generate test skeletons with pyrig sync. This will generate test skeletons for all source modules and update them automatically as your project evolves.

Test Fixtures

pyrig enables automatic sharing and registration of pytest fixtures. Run pyrig mk fixture <name> to generate a new fixture that is automatically registered and available across all your tests.

Multi-Package Inheritance and Extensibility Architecture

Override and customize any and all behaviour to suit your project's needs. pyrig's classes are designed for inheritance and composition, allowing you to create custom configurations, tools, and more by subclassing and simply overriding methods. pyrig will automatically discover and use your custom classes without any additional configuration. Run pyrig mk subcls to generate a subclass for any pyrig class.

CI/CD & Repository Protection

Pyrig generates GitHub Actions workflows for CI/CD and automatically configures and applies repository protection settings and branch protection rules to ensure your repository is protected. Run pyrig protect-repo to apply or update repository protection settings or simply use the fully working CI/CD pipeline to apply them automatically.

Commands

Run pyrig <command> --help for more information about a specific command and its usage.

uv run pyrig init                    # Full project initialization
uv run pyrig sync                    # Synchronize project
uv run pyrig mk fixture <name>       # Generate a new pytest fixture
uv run pyrig mk cmd <name>           # Create a new CLI subcommand stub
uv run pyrig mk subcls               # Generate and override subclasses
uv run pyrig protect-repo            # Configure repository protection
uv run pyrig scratch                 # Execute the project's .scratch.py file
uv run pyrig rmpyc                   # Remove __pycache__ directories
uv run pyrig version                 # Show pyrig version
uv run my-project --help             # Your project's CLI
uv run my-project version            # Show your project's version

Documentation

Full Documentation The manually written documentation
CodeWiki AI-generated documentation
Tutorials YouTube tutorials for pyrig

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