networkXR
Goal
networkXR is a Rust-backed, drop-in replacement for NetworkX — the popular Python library for graph creation, manipulation, and analysis.
By leveraging PyO3 and Rust's performance characteristics, networkXR aims to provide a fully compatible NetworkX API with significantly improved speed for compute-intensive graph operations, while remaining a seamless swap for existing Python codebases.
Why networkXR?
- 🚀 Blazing Fast: Core graphs (
Graph,DiGraph) use RustIndexMapinternally for high-performance processing. - 🤝 Drop-in Replaceable: Change your
import networkx as nxtoimport networkxr as nx. That's it. - 🎨 Batteries Included: Comes with generators (including fake data), converters, isomorphism checks, and a rich Plotly-native visualization engine.
Installation
pip install networkxr
# With interactive plotting support (optional)
pip install networkxr[plot]
Quick Start
# Just swap the import — everything else stays the same
import networkxr as nx
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 1), (1, 3)])
G.add_node(5, role="isolated")
print(G.number_of_nodes()) # 5
print(G.number_of_edges()) # 5
print(list(G.neighbors(1))) # [2, 3, 4]
Plotting & Visualization
networkXR natively supports Plotly for interactive, publication-ready graph visualization out-of-the-box (no matplotlib required!).
import networkxr as nx
# Create a beautiful graph topology
G = nx.barbell_graph(5, 1)
# Draw it with custom styling
fig = nx.draw(
G,
node_color="#6366f1",
edge_color="#cbd5e1",
title="Barbell Graph Visualization",
show=False
)
fig.write_html("my_graph.html")
Note: Plotting requires
plotly— install withpip install networkxr[plot].
Rich Data Generation
Need a realistic graph for testing? networkXR includes Faker-powered network generation:
import networkxr as nx
# Create a realistic social network graph with user attributes
G = nx.fake_social_network(n=50, p=0.1, seed=42)
for u, data in list(G.nodes(data=True))[:2]:
print(f"{data['name']} ({data['email']}) works at {data['company']}")
Documentation
For full API reference, examples, and cookbooks, check out our documentation website.
1 maintainer
Metadata
1 maintainer
Release files for networkxr 0.1.6
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