psqlpy


Namepsqlpy JSON
Version 0.11.3 PyPI version JSON
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home_pageNone
SummaryAsync PostgreSQL driver for Python written in Rust
upload_time2025-07-16 21:42:29
maintainerNone
docs_urlNone
authorKiselev Aleksandr
requires_python>=3.8
licenseNone
keywords postgresql psql async-driver psql-driver postgresql-driver python-driver
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requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            [![PyPI - Python Version](https://img.shields.io/badge/PYTHON-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue?style=for-the-badge
)](https://pypi.org/project/psqlpy/)
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)](https://pypi.org/project/psqlpy/)
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# PSQLPy - Async PostgreSQL driver for Python written in Rust.

Driver for PostgreSQL written fully in Rust and exposed to Python.
Main goals of the library is speed and type safety.

## Documentation
You can find full documentation here - [PSQLPy documentation](https://psqlpy-python.github.io/)

## Installation

You can install package with `pip` or `poetry`.

poetry:

```bash
> poetry add psqlpy
```

pip:

```bash
> pip install psqlpy
```

Or you can build it by yourself. To do it, install stable rust and [maturin](https://github.com/PyO3/maturin).

```
> maturin develop --release
```

## Usage

Usage is as easy as possible.
Create new instance of ConnectionPool and start querying.
You don't need to startup connection pool, the connection pool will create connections as needed.

```python
from typing import Any

from psqlpy import ConnectionPool, QueryResult


async def main() -> None:
    db_pool = ConnectionPool(
        username="postgres",
        password="pg_password",
        host="localhost",
        port=5432,
        db_name="postgres",
        max_db_pool_size=2,
    )

    async with db_pool.acquire() as conn:
        res: QueryResult = await conn.execute(
            "SELECT * FROM users",
        )

    print(res.result())
    db_pool.close()

```

## Benchmarks

You can find benchmarks with visualization on our [docs](https://psqlpy-python.github.io/benchmarks.html)

## Community
Let's make `PSQLPy` better together!
Join our community in [Telegram](https://t.me/+f3Y8mYKgXxhmYThi)


            

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