Development

GRASS License

The GRASS GIS project is developed under the terms of the GNU General Public License (the GPL) in the open by volunteers the world over.

• WikiPedia entry discussing the GPL

Resources for Developers

Communication

• You can contact GRASS folks in IRC
• Developers mailing list

Documentation

• GRASS Programming Manual
• GRASS Programming Howto (partially outdated)
• Updating GRASS Documentation How-To
• GIS Concepts and how they are implemented in GRASS
• GRASS Debugging
• Large File Support (LFS) implementation
• Code submission standards:
  • C language coding standards
  • Shell script coding standards
  • Tcl/Tk script coding standards

Code

• Tracking bugs, patches and feature requests
• GRASS AddOns - User code contributions (custom scripts, modules, icons, etc)
• Compile and Install hints

CVS

• Main CVS server help page
• Live GRASS WebCVS interface browsable source code repository
• Hints for Working with CVS
• CVS commit mailing list archive

QA

• Code Quality Control System Mailing list

• Testing GRASS software - a test protocol based on the Spearfish sample data set

• Internal GRASS test suite (scripts collection in "testsuite/")

• External GRASS test suite (TU Berlin)
  • GRASS Test Suite a small test suite for GRASS, the current html output is available here and with memory check here

• External GRASS Quality Assessment and monitoring system (École Polytechnique de Montréal and ITC-irst)

• CVS-commit reports into IRC '#grass' channel via CIA - The open source informant
  • CIA commit bot for realtime monitoring along with grass-commit mailing list (showing the diff's)

Code Search and Metrics

• Google Code Search

• Ohloh Metrics

• Koders Code Search

Plans

Overview

• Release Roadmap (old Development Roadmap which needs freshening) - please help with testing release candidates
• GRASS Module Porting List (check here if you don't find a certain command in GRASS 6)
• GRASS ToDo List (overview of GRASS related community projects, see also Release Roadmap)
• GRASS 6-CVS Vector TODO

Works in Progress

• Native Windows development
• GRASS GUI development

Sandbox (ideas section)

• GRASS 7 ideas collection
• Image processing
• GRDSS (Geographic Resources Decision Support System)
• Ideas on a replacement raster format specification
• add support (at least storage!) of vertical datum and units
• Discussion on Development Specs for standardized messages
• Discussion on add-on manager repository setup: GEM repository
• Discussion of support for time series in GRASS, e.g. for linking to data and models
• GRASS Location Wizard development
• GRASS Digitizing tool ideas
• Metadata Management ideas

Linking GRASS to external languages

• GRASS-SWIG interface: generic interface to various languages
• GRASS and PHP
• GRASS and Python
• GRASS and Shell: Starting and running GRASS from a script
• Integration of GRASS with JAVA based agent based modeling (ABM)
• JAVAGRASS

GRASS and QGIS

• Building QGIS/GRASS Windows Binary On Linux (using MinGW)
• Adding New Tools to the GRASS Toolbox
• QGIS GRASS Cookbook - Recipes for common tasks

Related projects

With connections to GRASS

• JGrass - Java based frontend for GRASS incuding extended hydrological modelling tools
• KerGIS - BSD-like licensed fork of GRASS 4.1.5
• GAL - Project to reimplement a GRASS-like GIS using a modern object oriented approach

• PROJ.4 - Cartographic Projections Library
• GDAL - Geospatial Data Abstraction Library
• QGIS - Quantum GIS

• OSGeo- The Open Source Geospatial Foundation
• FreeGIS.org - Interactive information base for the GIS Free Software world
• DebianGIS - Project coordinating geospatial software for Debian GNU/Linux

• R statistics - High powered geostatistical analysis engine
• gstat - Multivariable geostatistical modelling, prediction and simulation

Not connected to GRASS

• SAGA GIS - A modern programming method GIS for the geosciences
• uDig User-friendly Desktop Internet GIS (uDig) web portal
• gvSIG - Similar in nature to QGIS, but written in Java
• JUMP - For viewing and manipulating spatial data-sets, using Java
• Starspan - Mixed raster and vector spatial analysis