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Datamodel Code Generator

Project description

datamodel-code-generator

🚀 Generate Python data models from schema definitions in seconds.

PyPI version Conda-forge Downloads PyPI - Python Version codecov license Pydantic v1 Pydantic v2

✨ What it does

  • 📄 Converts OpenAPI 3, JSON Schema, GraphQL, and raw data (JSON/YAML/CSV) into Python models
  • 🎯 Generates Pydantic v1/v2, dataclasses, TypedDict, or msgspec output
  • 🔗 Handles complex schemas: $ref, allOf, oneOf, anyOf, enums, and nested types
  • ✅ Produces type-safe, validated code ready for your IDE and type checker

📖 Documentation

👉 koxudaxi.github.io/datamodel-code-generator


📦 Installation

pip install datamodel-code-generator
Other installation methods

uv:

uv add datamodel-code-generator

conda:

conda install -c conda-forge datamodel-code-generator

With HTTP support (for resolving remote $ref):

pip install 'datamodel-code-generator[http]'

With GraphQL support:

pip install 'datamodel-code-generator[graphql]'

Docker:

docker pull koxudaxi/datamodel-code-generator

🏃 Quick Start

datamodel-codegen --input schema.json --input-file-type jsonschema --output-model-type pydantic_v2.BaseModel --output model.py
📄 schema.json (input)
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Pet",
  "type": "object",
  "required": ["name", "species"],
  "properties": {
    "name": {
      "type": "string",
      "description": "The pet's name"
    },
    "species": {
      "type": "string",
      "enum": ["dog", "cat", "bird", "fish"]
    },
    "age": {
      "type": "integer",
      "minimum": 0,
      "description": "Age in years"
    },
    "vaccinated": {
      "type": "boolean",
      "default": false
    }
  }
}
🐍 model.py (output)
# generated by datamodel-codegen:
#   filename:  schema.json

from __future__ import annotations

from enum import Enum
from typing import Optional

from pydantic import BaseModel, Field


class Species(Enum):
    dog = 'dog'
    cat = 'cat'
    bird = 'bird'
    fish = 'fish'


class Pet(BaseModel):
    name: str = Field(..., description="The pet's name")
    species: Species
    age: Optional[int] = Field(None, description='Age in years', ge=0)
    vaccinated: Optional[bool] = False

📥 Supported Input

  • OpenAPI 3 (YAML/JSON)
  • JSON Schema
  • JSON / YAML / CSV data
  • GraphQL schema
  • Python dictionary

📤 Supported Output


🍳 Common Recipes

🆕 Generate Pydantic v2 models

datamodel-codegen --input schema.json --input-file-type jsonschema --output-model-type pydantic_v2.BaseModel --output model.py

🌐 Generate from URL

pip install 'datamodel-code-generator[http]'
datamodel-codegen --url https://example.com/api/openapi.yaml --input-file-type openapi --output-model-type pydantic_v2.BaseModel --output model.py

⚙️ Use with pyproject.toml

[tool.datamodel-codegen]
input = "schema.yaml"
input-file-type = "openapi"
output = "src/models.py"
output-model-type = "pydantic_v2.BaseModel"

See pyproject.toml Configuration for more options.

🔄 CI/CD Integration

datamodel-codegen --check

Verify generated code stays in sync with schemas. See CI/CD Integration for GitHub Actions and pre-commit hooks.


💖 Sponsors

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🏢 Projects that use datamodel-code-generator

These projects use datamodel-code-generator. See the linked examples for real-world usage.

See all dependents →


🔗 Related Projects


🤝 Contributing

See Development & Contributing for how to get started!

📄 License

MIT License - see LICENSE for details.

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