SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness.

--- **Documentation**: https://sqlmodel.tiangolo.com **Source Code**: https://github.com/tiangolo/sqlmodel --- SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. **SQLModel** is based on Python type annotations, and powered by Pydantic and SQLAlchemy. The key features are: * **Intuitive to write**: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. * **Easy to use**: It has sensible defaults and does a lot of work underneath to simplify the code you write. * **Compatible**: It is designed to be compatible with **FastAPI**, Pydantic, and SQLAlchemy. * **Extensible**: You have all the power of SQLAlchemy and Pydantic underneath. * **Short**: Minimize code duplication. A single type annotation does a lot of work. No need to duplicate models in SQLAlchemy and Pydantic. ## SQL Databases in FastAPI

**SQLModel** is designed to simplify interacting with SQL databases in FastAPI applications, it was created by the same author. 😁 It combines SQLAlchemy and Pydantic and tries to simplify the code you write as much as possible, allowing you to reduce the **code duplication to a minimum**, but while getting the **best developer experience** possible. **SQLModel** is, in fact, a thin layer on top of **Pydantic** and **SQLAlchemy**, carefully designed to be compatible with both. ## Requirements A recent and currently supported version of Python (right now, Python supports versions 3.6 and above). As **SQLModel** is based on **Pydantic** and **SQLAlchemy**, it requires them. They will be automatically installed when you install SQLModel. ## Installation

```console $ pip install sqlmodel ---> 100% Successfully installed sqlmodel ```

## Example For an introduction to databases, SQL, and everything else, see the SQLModel documentation. Here's a quick example. ✨ ### A SQL Table Imagine you have a SQL table called `hero` with: * `id` * `name` * `secret_name` * `age` And you want it to have this data: | id | name | secret_name | age | -----|------|-------------|------| | 1 | Deadpond | Dive Wilson | null | | 2 | Spider-Boy | Pedro Parqueador | null | | 3 | Rusty-Man | Tommy Sharp | 48 | ### Create a SQLModel Model Then you could create a **SQLModel** model like this: ```Python from typing import Optional from sqlmodel import Field, SQLModel class Hero(SQLModel, table=True): id: Optional[int] = Field(default=None, primary_key=True) name: str secret_name: str age: Optional[int] = None ``` That class `Hero` is a **SQLModel** model, the equivalent of a SQL table in Python code. And each of those class attributes is equivalent to each **table column**. ### Create Rows Then you could **create each row** of the table as an **instance** of the model: ```Python hero_1 = Hero(name="Deadpond", secret_name="Dive Wilson") hero_2 = Hero(name="Spider-Boy", secret_name="Pedro Parqueador") hero_3 = Hero(name="Rusty-Man", secret_name="Tommy Sharp", age=48) ``` This way, you can use conventional Python code with **classes** and **instances** that represent **tables** and **rows**, and that way communicate with the **SQL database**. ### Editor Support Everything is designed for you to get the best developer experience possible, with the best editor support. Including **autocompletion**:

And **inline errors**:

### Write to the Database You can learn a lot more about **SQLModel** by quickly following the **tutorial**, but if you need a taste right now of how to put all that together and save to the database, you can do this: ```Python hl_lines="18 21 23-27" from typing import Optional from sqlmodel import Field, Session, SQLModel, create_engine class Hero(SQLModel, table=True): id: Optional[int] = Field(default=None, primary_key=True) name: str secret_name: str age: Optional[int] = None hero_1 = Hero(name="Deadpond", secret_name="Dive Wilson") hero_2 = Hero(name="Spider-Boy", secret_name="Pedro Parqueador") hero_3 = Hero(name="Rusty-Man", secret_name="Tommy Sharp", age=48) engine = create_engine("sqlite:///database.db") SQLModel.metadata.create_all(engine) with Session(engine) as session: session.add(hero_1) session.add(hero_2) session.add(hero_3) session.commit() ``` That will save a **SQLite** database with the 3 heroes. ### Select from the Database Then you could write queries to select from that same database, for example with: ```Python hl_lines="15-18" from typing import Optional from sqlmodel import Field, Session, SQLModel, create_engine, select class Hero(SQLModel, table=True): id: Optional[int] = Field(default=None, primary_key=True) name: str secret_name: str age: Optional[int] = None engine = create_engine("sqlite:///database.db") with Session(engine) as session: statement = select(Hero).where(Hero.name == "Spider-Boy") hero = session.exec(statement).first() print(hero) ``` ### Editor Support Everywhere **SQLModel** was carefully designed to give you the best developer experience and editor support, **even after selecting data** from the database:

## SQLAlchemy and Pydantic That class `Hero` is a **SQLModel** model. But at the same time, ✨ it is a **SQLAlchemy** model ✨. So, you can combine it and use it with other SQLAlchemy models, or you could easily migrate applications with SQLAlchemy to **SQLModel**. And at the same time, ✨ it is also a **Pydantic** model ✨. You can use inheritance with it to define all your **data models** while avoiding code duplication. That makes it very easy to use with **FastAPI**. ## License This project is licensed under the terms of the MIT license.