EasyGraph GitHub Discord
EasyGraph
EasyGraph Themes
EasyGraph Optimized
Network Data
Analysis Library

Network analysis with Python, using state-of-the-art research findings that cover a series of advanced network analysis algorithms. Designed to scale on million-node datasets and largely reduce computation time.

Why EasyGraph?

Algorithm

The first open source library to cover the most complete SH Spanner detection methods and network representation learning.

→ More about EasyGraph functions

Optimization

Scalable functions with parallel, concurrent, or hybrid computing to achieve high efficiency.


→ More about EasyGraph performance

Visualization

Presentable drawings of the complete network with SH Spanner marks, CDF curves, and node positioning.

→ More about drawing with EasyGraph

Usability

Starter-friendly APIs. Able to analyze the network for SHS and export drawing and CDF curve with 6 lines of Python.

→ Check the code examples.

Advancement

Backed by world-class researchers with collective cutting-edge studies in interdisciplinary network analysis.

→ Meet the FudanDataNET team

Community

Welcoming to all contributors for every aspect of development. Join our Github and Discord