Moose is a platform for software and data analysis.
It helps programmers craft custom analyses cheaply.
It's based on Pharo and it's open source under BSD/MIT.
Install Follow @moosetechnology

Visualizations

System attraction

Browsers

Browser

Parsers

Parsing

Models

Meta

Queries

Queries

Scripting

Scripting

Install Moose. It's easy.

Moose is built on top of Pharo, the young cool kid in the object-oriented languages arena. As with any Pharo application, you run it by executing the image containing the Moose code with the Pharo VM.

Moose 6.1 development image

Download the Moose 6.1 image.

Download Pharo60.sources.

Run the image with the Pharo Virtual Machine:
Linux | Mac | Windows.

Moose 6.0 (August 2016)

Download Moose 6.0 for Windows.

Download Moose 6.0 for Mac.

Download Moose 6.0 for Linux.

Or load the Moose code in a Pharo 5.0 image:

  
Metacello new
    smalltalkhubUser: 'Moose' project: 'Moose';
    configuration: 'Moose';
    version: #stable;
    load.
            

jdt2famix importer for Java

Get the external jdt2famix importer for Java:

Moose 5.1 (June 2015)

Download Moose 5.1 for Windows.

Download Moose 5.1 for Mac.

Download Moose 5.1 for Linux.


Learn Moose. It's different, but uniform.

Moose is primarily not for clickers, but for programmers. To get the most out of it, you have to program it.The goal is to make crafting of custom tools as cheap and elegant as possible. The target is 15 minutes.

For this, everything is exposed as beautiful object-oriented models and fluent interfaces. Every piece of Moose is conceived to be extensible and customizable.

Get a tour on the humane-assessment.com blog.

Read themoosebook.org.

Read agilevisualization.com.


Moose is a community. Get involved.

The Moose project started in 1996 at the University of Bern. Its original goal was to build a language independent meta-model for software analysis. Since then, it grew to become an open platform for various types of software and data analyses. Its development is currently supported by several research groups, startups and contributors.

Drop an email at info@moosetechnology.org.

Join the moose-dev@list.inf.unibe.ch mailing list.

Follow @moosetechnology.

Check the code from smalltalkhub.com.

Raise an issue on github.com/moosetechnology/Moose.


Team

Prof. Alexandre Bergel

Andrei Chis

Dr. St├ęphane Ducasse

Dr. Tudor Girba

More contributors

Partners


Contact

info@moosetechnology.org

@moosetechnology