Great, i'm looking for a way to make a graph engine independent of
database. To plug in any other databases to make a portability of an graph,
and techniques of machine learning to test this concepts.

But I understand the proposals, and will study some ways to insert them.
Or use them as a basis of study, in the case of level graph.

Thanks for all feedback!


2013/6/19 Matteo Collina <[email protected]>

> I've forgot to put the link: https://github.com/mcollina/node-levelgraph
>
>
> 2013/6/19 Matteo Collina <[email protected]>
>
>> @Kaique
>> You might want to check out my LevelGraph, a graph database built on top
>> of LevelUp.
>> It can be ported to work in the browser, if you have some time :).
>>
>> @Spion
>> I can't find the sources of your library in a git repo. Only a gist.
>>
>> Cheers,
>>
>> Matteo
>>
>>
>> 2013/6/19 spion <[email protected]>
>>
>>> You could consider using a more functional approach. The user usually
>>> has model classes and basic functions already, so why write model classes
>>> for vertices and edges? Instead, write awesome algorithms that take
>>> function arguments such as getNeighbors: (node) => node array, getDistance:
>>> (node, node) => number, etc.
>>>
>>> At least, that was my thinking when I wrote async-bfs -
>>> https://npmjs.org/package/async-bfs
>>>
>>>
>>>
>>> On Saturday, June 15, 2013 8:44:19 PM UTC+2, Kaique da silva wrote:
>>>>
>>>> I'm writing a Graph engine using node... this is the draft:
>>>>
>>>> https://github.com/kaiquewdev/**Graph<https://github.com/kaiquewdev/Graph>
>>>>
>>>> Please, give me feedback to improve the concept.
>>>>
>>>> Thanks!
>>>>
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