networkxr 0.1.2

Drop-in replacement for NetworkX (Rust-accelerated)

networkXR

[!CAUTION] 🚧 Under Heavy Construction 🚧

This project is in early development. APIs may change without notice. Not yet ready for production use.

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.

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

networkXR natively supports Plotly for interactive graph visualization:

import networkxr as nx

G = nx.barbell_graph(5, 1)
nx.draw(G, node_color="#6366f1", title="Barbell Graph")

Customise layout, colours, and export to HTML:

G = nx.cycle_graph(12)

fig = nx.draw(
    G,
    layout="circular",
    node_color="#06b6d4",
    title="Cycle C₁₂",
    show=False,
)
fig.write_html("graph.html")

Note: Plotting requires plotly — install with pip install networkxr[plot].