15 Free Tools for Visualizing Knowledge Graphs and Networks in Python

Knowledge graphs (relationship networks) can be visualized with simple shapes and lines to help understand data connections; this article introduces fifteen useful free tools for drawing network graphs.

NetworkX is a Python library for handling networks, widely used for graph data processing and serving as the foundation for many graph AI tools. GitHub

Graph‑tool is a Python package for network processing written largely in C++, offering fast computation and low memory usage. Documentation

Graphviz simplifies graph drawing; many visualization libraries for PyTorch, XGBoost, and other models rely on it.

ipycytoscape brings Cytoscape’s network visualization to Jupyter notebooks, allowing users familiar with Pandas, NetworkX, and NumPy to display and style networks interactively.

ipydagred3 wraps the JavaScript dagre‑d3 tool for use in JupyterLab, enabling arrow‑based graph rendering.

ipySigma integrates the fast, scalable Sigma.js JavaScript library with Python’s NetworkX, allowing interactive network visualization in web browsers.

Netwulf provides an easy‑to‑use, interactive way to view NetworkX graph objects directly from Python or Jupyter notebooks, supporting quick previews and modifications.

nxviz uses Matplotlib to create a variety of graph visualizations (Circos, Arc, Matrix, Hive, Parallel) from NetworkX data.

Py3plex is a Python tool for exploring and visualizing complex networks, offering decomposition and plotting based on node and edge attributes.

Py4cytoscape provides a Python interface to Cytoscape, enabling seamless switching of network computation tasks between R and Python within notebooks.

pydot is a pure‑Python interface to Graphviz, capable of parsing and emitting DOT language files.

PyGraphistry is a Python library for large‑scale graph visualization that leverages GPU acceleration via the Graphistry server.

python‑igraph provides Python bindings for the igraph C library, a free tool for complex network research also usable from R, Mathematica, and C/C++.

pyvis is a Python package for creating and visualizing interactive network graphs in the browser.

SNAP (Stanford Network Analysis Platform) is a high‑performance C++ library for analyzing and processing large networks, supporting directed, undirected, and multigraph structures.

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