Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. networks). Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library.
Looking for other graph-tool-like programs? We've rounded up our favorites graph-tool alternatives. Try any one of these fan favorites to see if they'll support your system and meet your specific needs.
You can think of Neo4j as a high-performance graph engine with all the features of a mature and robust database. The programmer works with an object-oriented...
RedisGraph is a property graph database module for Redis. It is the first graph database to use linear algebra on sparse adjacency matrices to implement graph...
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NetworkX is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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