The objective of BigGrph is to provide a distributed platform for very large graphs processing. A typical data set for testing purpose is a sample of the Twitter graph : 240GB on disk, 398M vertices, 23G edges, average degree of 58 and max degree of 24,635,412. The project in 2014 and is now at the stage where we focus on the quality and the improvement of the code. In particular we have solved problems of scalability, in particular concerning the communication layer with billions of messages exchanged between BSP steps. Moreover, we have implemented specific data structures for BSP and support for distributed debugging. This comes along with the implementation of algorithms such as BFS or strongly connected components that are run on the NEF cluster (a facility maintained at Inria Sophia Antipolis).