|Installation||This explains how to do different MOOSE installs, from single-click for Linux and Mac environments, to CygWin for Windows, to the full compile source tree.|
|GUI||This explains how to use the MOOSE GUI. There are a number of click-and-run demos on the MOOSE GUI launch interface, but the GUI also supports more advanced features for loading, running and editing models. The GUI documentation leads you through these operations.|
|Rdesigneur||This section is the way to go to learn how to build detailed single neuron models, chemical reaction-diffusion models, or models with both. The very compact Python code using the Rdesigneur tool is the best way to build, run and display demo and production models.|
|Tutorials||A set of tutorials for teaching a range of topics, including integrate-and-fire networks, chemical bistables, and oscillators. Has stand-alone graphics and the Python scripts are meant to tinker with.|
|Snippets||A diverse collection of snippets: (mostly) short code examples illustrating different features of MOOSE|
|MOOSE Cookbook||The MOOSE Cookbook contains recipes showing you how to do specific tasks in MOOSE|
|MOOSE quickstart||Tutorial on using the Python scripting features in MOOSE|
|MOOSE user reference||Automatically generated documentation for MOOSE built-in functions and MOOSE classes, as accessed through Python.|
|Source code reference||
Documentation for developers, plus Doxygen-generated code documentation.
If you want to develop MOOSE, go here. This page includes a Programmer's Guide, API documentation, and a Design Document. Further, MOOSE code is internally documented using Doxygen. This provides function and class-level information for developers. On this site you will find the current Doxygen-generated code documentation.