Generate Pydantic, SQLAlchemy, SQLModel, Dataclasses and more from your database schema in seconds
+ ++ * Web UI version may differ from the latest release +
+Paste your SQL, get Python models instantly
+ +CREATE TABLE "users" ( + "id" SERIAL PRIMARY KEY, + "email" VARCHAR(255) NOT NULL, + "name" VARCHAR(100), + "is_active" BOOLEAN DEFAULT TRUE, + "created_at" TIMESTAMP DEFAULT NOW() +);+
from datetime import datetime +from typing import Optional +from pydantic import BaseModel + + +class Users(BaseModel): + id: int + email: str + name: Optional[str] + is_active: Optional[bool] = True + created_at: Optional[datetime] = datetime.now()+
from __future__ import annotations +import datetime +from pydantic import BaseModel + + +class Users(BaseModel): + id: int + email: str + name: str | None = None + is_active: bool | None = True + created_at: datetime.datetime | None = datetime.datetime.now()+
import sqlalchemy as sa +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.sql import func + +Base = declarative_base() + + +class Users(Base): + __tablename__ = 'users' + + id = sa.Column(sa.Integer(), primary_key=True) + email = sa.Column(sa.String(255), nullable=False) + name = sa.Column(sa.String(100)) + is_active = sa.Column(sa.Boolean(), server_default='true') + created_at = sa.Column(sa.TIMESTAMP(), server_default=func.now())+
import datetime +from typing import Optional +from sqlmodel import Field, SQLModel +from sqlalchemy.sql import func + + +class Users(SQLModel, table=True): + __tablename__ = 'users' + + id: Optional[int] = Field(default=None, primary_key=True) + email: str + name: Optional[str] + is_active: Optional[bool] = Field(server_default='true') + created_at: Optional[datetime.datetime] = Field(server_default=func.now())+
import datetime +from dataclasses import dataclass, field + + +@dataclass +class Users: + id: int + email: str + name: str = None + is_active: bool = True + created_at: datetime.datetime = field( + default_factory=datetime.datetime.now + )+
One DDL, many possibilities
+ +pydantic
+ pydantic_v2
+ sqlalchemy
+ sqlmodel
+ dataclass
+ gino
+ openapi3
+ sqlalchemy_core
+ Get started in 3 simple steps
+ +Install via pip in seconds
+pip install omymodels
+ Import and generate models
+from omymodels import create_models + +result = create_models( + ddl, + models_type="pydantic_v2" +) +print(result["code"])+
Generate directly from terminal
+# Generate Pydantic v2 models +omm schema.sql -m pydantic_v2 -t models.py + +# Generate SQLModel +omm schema.sql -m sqlmodel -t models.py+
Everything you need for model generation
+ +Convert between different model types. Turn Pydantic into SQLAlchemy or vice versa.
+Automatically generates Python Enums from SQL ENUM and TYPE definitions.
+Preserves relationships with proper foreign key references and constraints.
+Handles default values, nullable fields, and other column constraints.
+Create custom generators for your own frameworks without forking.
+Generate OpenAPI 3 schemas or convert them to Python models.
+