PySAL is a cross-platform library of spatial analysis functions written in Python. It is intended to support the development of high level applications for spatial analysis.
PySAL is Open Source and licensed under the BSD License.
Source downloads are hosted on the Python Package Index.
Graphical installers for recent releases are hosted on the GeoDa Center website.
Legacy builds (<=1.5) are still available on the old source code repository at Google Code, here. You can also find old versions of this documentation there as well.
Prospective developers can learn more in the developer guide.
You can track PySAL development, submit bug reports, and make feature requests here.
Release: 1.6.0 Date: October 27, 2013
Bleeding edge documentation is available for developers here > http://pysal.geodacenter.org/dev/
(2012-10-24) PySAL short course at OSGRS 2012
(2012-09-18) PySAL short course at GIScience 2012
(2012-07-30) Short course on PySAL for Spatial Regression
(2012-07-30) PySAL presentation at Joint Statistical Meetings
(2012-07-18) PySAL at SciPy 2012
(2010-01-6) New Website for PySAL!
(2009-11-03) National Institute of Justice funding
National Science Foundation CyberGIS Software Integration for Sustained Geospatial Innovation
National Institute of Justice Flexible Geospatial Visual Analytics and Simulation Technologies to Enhance Criminal Justice Decision Support Systems
National Institutes of Health Geospatial Factors and Impacts: Measurement and Use (R01CA126858-02)
National Science Foundation An Exploratory Space-Time Data Analysis Toolit for Spatial Social Science Research (0433132)
National Science Foundation Hedonic Models of Location Decisions with Applications to Geospatial Microdata (0852261)