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