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Fully typed configuration management, powered by Pydantic

Project description

nshconfig

Fully typed configuration management, powered by Pydantic.

📚 Documentation | 🔧 Installation Guide

Overview

nshconfig is a Python library that enhances Pydantic with additional features for configuration management, particularly useful for machine learning experiments and other applications requiring strongly typed configurations.

Installation

pip install nshconfig

To install all optional dependencies, use:

pip install nshconfig[extra]

Please see the Installation Guide for more details.

Quick Start

import nshconfig as C

class MyConfig(C.Config):
    field1: int
    field2: str
    field3: C.AllowMissing[float] = C.MISSING

config = MyConfig.draft()
config.field1 = 42
config.field2 = "hello"
final_config = config.finalize()

Key Features

  • Draft configs for intuitive configuration creation
  • Singleton pattern support (both descriptor and global styles)
  • Multiple configuration formats (Python, JSON, YAML)
  • Dynamic type registry for plugin systems
  • Configuration code generation tools
  • Built-in PyTorch Lightning integration
  • MISSING constant for optional fields

For detailed examples and API reference, please visit the documentation.

Contributing

Contributions are welcome! Please see our Contributing Guide for details.

Credit

Built on top of the excellent pydantic library.

License

MIT License

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