Skip to content

danpat/geoalchemy

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

GeoAlchemy

GIS Support for SQLAlchemy.

Introduction

GeoAlchemy is an extension of SQLAlchemy. It provides support for Geospatial data types at the ORM layer using SQLAlchemy. It aims to support spatial operations and relations specified by the Open Geospatial Consortium (OGC). The project started under Google Summer of Code Program under the mentorship of Mark Ramm-Christensen.

Requirements

Requires SQLAlchemy > 0.6. Supported on Python 2.5 and Python 2.6. Should also work with Python 2.4 but has not been tested. It also requires a supported spatial database.

Supported Spatial Databases

At present PostGIS, Spatialite, MySQL, Oracle and MS SQL Server 2008 are supported.

Support

GeoAlchemy is at an early stage of development. Its mailing list is available on Google Groups. The source code can be found on GitHub. Also, feel free to email the author directly to send bugreports, feature requests, patches, etc.

Installation

To install type as usual:

$ easy_install GeoAlchemy

Or, download the package, change into geoalchemy dir and type:

$ python setup.py install

Documentation

Documentation is available online at http://geoalchemy.org. You can also generate full documentation using sphinx by doing make html in the doc dir and pointing the browser to doc/_build/index.html.

Package Contents

geoalchemy/
Source code of the project.
geoalchemy/tests/
Unittests for GeoAlchemy.
doc/
Documentation source.
examples/
A few examples demonstrating usage.

License

GeoAlchemy is released under the MIT License.

Contributors

The contributors to this project (in alphabetical order are):

  • Eric Lemoine
  • Frank Broniewski
  • Mark Hall
  • Michael Bayer
  • Mike Gilligan
  • Sanjiv Singh
  • Stefano Costa
  • Tobias Sauerwein

About

Using SQLAlchemy with spatial databases

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%