Displaying 1 to 6 from 6 results

networkx - Official NetworkX source code repository.

  •    Python

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. For additional details, please see INSTALL.rst.

g6 - A Graph Visualization Framework in JavaScript

  •    Javascript

G6 is a graph visualization framework. It provides a set of base mechanisms, help developers to build your own graph visualization analysis application or graph visualization edit application.

stellargraph - StellarGraph - Machine Learning on Graphs

  •    Python

StellarGraph is a Python library for machine learning on graphs and networks. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn, so it is easy to augment the core graph machine learning algorithms provided by StellarGraph. It is thus also easy to install with pip or Anaconda.

GoldenOrb - Scalable Graph Analysis

  •    Java

GoldenOrb is a cloud-based project for massive-scale graph analysis, built upon Apache Hadoop and modeled after Google's Pregel architecture. It provides solutions to complex data problems, remove limits to innovation and contribute to the emerging ecosystem that spans all aspects of big data analysis. It enables users to run analytics on entire data sets instead of samples.




STINGER - In-memory graph store and dynamic graph analysis platform

  •    C

STINGER is a package designed to support streaming graph analytics by using in-memory parallel computation to accelerate the computation. STINGER is composed of the core data structure and the STINGER server, algorithms, and an RPC server that can be used to run queries and serve visualizations.






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