Thank you all for your positive feedbacks :)

@Jim : I've read about the GG challenge but did not thought about proposing 
a UI :) Adding compatibility to GG in Datagr4m could be great. If you want 
we can work together on that point.

@Mark : pull request welcome :)

@Craig : I just added a new bsd license 
file https://github.com/datagr4m/org.datagr4m/blob/master/license.txt

Just would like to add a disclaimer : all this code has been written as a 
serie of POCs. Although I spent some time cleaning the code, there are 
still untested classes and sometime not clean code. You might generate a 
consolidated cobertura report to get an idea (to my memory mvn 
cobertura:cobertura... to be verified). Going toward full test coverage is 
one of my goal for 2014 :)



On Wednesday, January 8, 2014 10:38:27 AM UTC+1, Craig Taverner wrote:
>
> This looks really cool, and definitely useful for many domain specific 
> models.
>
> One thing I could not find while browsing the docs and github was any sign 
> of a license. You said it was 'open source', but it is very useful to know 
> which open source license you chose, because that will affect how and when 
> the library can be used. Can you point me to the license?
>
>
> On Tue, Jan 7, 2014 at 5:47 PM, Pernollet Martin 
> <[email protected]<javascript:>
> > wrote:
>
>> Hi,
>>
>> I just would like to announce that I've released Datagr4m, a framework 
>> dealing with graph visualization. 
>>
>> Why another one? It let you build hierarchical clusters of nodes in a 
>> graph, which makes the layout more readable than standard graph layouts. It 
>> has other advantages that you can read/see here [1].
>>
>> Despite the .com domain, all is open source [2] :) There is also a Neo4j 
>> viewer application to let you navigate a hierarchical graph [3] and some 
>> standalone demos. A few videos give an overview of navigating computer 
>> networks graphs [4].
>>
>> I hope you will enjoy this contribution,
>>
>> Cheers,
>>
>> Martin
>> @jzy3d
>>
>> [1] http://datagr4m.com/node/4
>> [2] https://github.com/datagr4m/org.datagr4m
>> [3] http://datagr4m.com/node/9 
>> [4] http://datagr4m.com/node/5
>>
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