# psycopg

**Repository Path**: HalfFriend/psycopg

## Basic Information

- **Project Name**: psycopg
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: LGPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-02-27
- **Last Updated**: 2026-02-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Psycopg 3 -- PostgreSQL database adapter for Python
===================================================

Psycopg 3 is a modern implementation of a PostgreSQL adapter for Python.


Installation
------------

Quick version::

    pip install "psycopg[binary,pool]"

For further information about installation please check `the documentation`__.

.. __: https://www.psycopg.org/psycopg3/docs/basic/install.html


.. _Hacking:

Hacking
-------

In order to work on the Psycopg source code, you must have the
``libpq`` PostgreSQL client library installed on the system. For instance, on
Debian systems, you can obtain it by running::

    sudo apt install libpq5

On macOS, run::

    brew install libpq

On Windows you can use EnterpriseDB's `installers`__ to obtain ``libpq``
which is included in the Command Line Tools.

.. __: https://www.enterprisedb.com/downloads/postgres-postgresql-downloads

You can then clone this repository to develop Psycopg::

    git clone https://github.com/psycopg/psycopg.git
    cd psycopg

Please note that the repository contains the source code of several Python
packages, which may have different requirements:

- The ``psycopg`` directory contains the pure python implementation of
  ``psycopg``. The package has only a runtime dependency on the ``libpq``, the
  PostgreSQL client library, which should be installed in your system.

- The ``psycopg_c`` directory contains an optimization module written in
  C/Cython. In order to build it you will need a few development tools: please
  look at `Local installation`__ in the docs for the details.

- The ``psycopg_pool`` directory contains the `connection pools`__
  implementations. This is kept as a separate package to allow a different
  release cycle.

.. __: https://www.psycopg.org/psycopg3/docs/basic/install.html#local-installation
.. __: https://www.psycopg.org/psycopg3/docs/advanced/pool.html

You can create a local virtualenv and install the packages `in
development mode`__, together with their development and testing
requirements::

    python -m venv .venv
    source .venv/bin/activate

    # Install the base Psycopg package in editable mode
    pip install --config-settings editable_mode=strict -e "./psycopg[dev,test]"

    # Install the connection pool package in editable mode
    pip install --config-settings editable_mode=strict -e ./psycopg_pool

    # Install the C speedup extension
    pip install ./psycopg_c

.. __: https://pip.pypa.io/en/stable/topics/local-project-installs/#editable-installs

The ``--config-settings editable_mode=strict`` will be probably required
to work around the problem of the `editable mode broken`__.

.. __: https://github.com/pypa/setuptools/issues/3557

Now hack away! You can run the tests using::

    psql -c 'create database psycopg_test'
    export PSYCOPG_TEST_DSN="dbname=psycopg_test"
    pytest

The project includes some `pre-commit`__ hooks to check that the code is valid
according to the project coding convention. Please make sure to install them
by running::

    pre-commit install

This will allow to check lint errors before submitting merge requests, which
will save you time and frustrations.

.. __: https://pre-commit.com/


Cross-compiling
---------------

To use cross-platform zipapps created with `shiv`__ that include Psycopg
as a dependency you must also have ``libpq`` installed. See
`the section above <Hacking_>`_ for install instructions.

.. __: https://github.com/linkedin/shiv