About PyGreSQL

PyGreSQL is an open-source Python module that interfaces to a PostgreSQL database. It embeds the PostgreSQL query library to allow easy use of the powerful PostgreSQL features from a Python script.

This software is copyright © 1995, Pascal Andre.

Further modifications are copyright © 1997-2008 by D’Arcy J.M. Cain.

Further modifications are copyright © 2009-2016 by the PyGreSQL team.

For licensing details, see the full Copyright notice.

PostgreSQL is a highly scalable, SQL compliant, open source object-relational database management system. With more than 20 years of development history, it is quickly becoming the de facto database for enterprise level open source solutions. Best of all, PostgreSQL’s source code is available under the most liberal open source license: the BSD license.

Python Python is an interpreted, interactive, object-oriented programming language. It is often compared to Tcl, Perl, Scheme or Java. Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems (X11, Motif, Tk, Mac, MFC). New built-in modules are easily written in C or C++. Python is also usable as an extension language for applications that need a programmable interface. The Python implementation is copyrighted but freely usable and distributable, even for commercial use.

PyGreSQL is a Python module that interfaces to a PostgreSQL database. It embeds the PostgreSQL query library to allow easy use of the powerful PostgreSQL features from a Python script.

PyGreSQL is developed and tested on a NetBSD system, but it also runs on most other platforms where PostgreSQL and Python is running. It is based on the PyGres95 code written by Pascal Andre (andre@chimay.via.ecp.fr). D’Arcy (darcy@druid.net) renamed it to PyGreSQL starting with version 2.0 and serves as the “BDFL” of PyGreSQL.

The current version PyGreSQL 4.2 needs PostgreSQL 8.3 or newer and Python 2.5 to 2.7. If you are using Python 3.x, you will need PyGreSQL 5.0 or newer.