webgraph
Python bindings for the Rust version of the WebGraph framework, built with PyO3.
WebGraph is a framework for graph compression that allows very large graphs (billions of nodes and arcs) to be stored in a compact representation while providing fast random access to successors.
Installation
pip install webgraph
Building from source
Pre-built wheels are compiled for a generic target. You should however enable native optimizations (e.g., BMI2 for faster succinct data structures) by building the wheel from source:
pip install maturin
git clone https://github.com/vigna/webgraph-py.git
cd webgraph-py/webgraph
maturin build --release -o dist
pip install dist/*.whl
The repository's .cargo/config.toml sets target-cpu=native, so the
resulting wheel will be optimized for your CPU.
Quick start
import webgraph
# Load a compressed graph
g = webgraph.BvGraph("/PATH/TO/BASENAME")
print(f"Nodes: {g.num_nodes()}, Arcs: {g.num_arcs()}")
# Iterate over successors
for s in g.successors(42):
print(s)
# Degree computation (returns a numpy array)
degrees = g.outdegrees()
# Top-k nodes by degree (returns a (k, 2) ndarray: column 0 = node, column 1 = degree)
top = g.top_k_out(10)
print(top[:, 0]) # node IDs
# Breadth-first search
for root, parent, node, distance in g.bfs_from_node(0):
print(f"node={node} distance={distance}")
Metadata
Release files for webgraph 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 33.9 MB
Release files / webgraph-0.2.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl
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