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An efficient Mojo implementation of a subset of NetworkX (Graph/DiGraph, algorithms, and attributes).

Project description

networkx-mojo

An efficient Mojo implementation of a subset of the Python NetworkX API.

Requirements

  • Mojo (installed into a local .venv via uv)

Install Mojo (via uv)

Follow the official install docs for your platform.

Nightly (recommended for development):

uv venv
. .venv/bin/activate
uv pip install mojo --index https://whl.modular.com/nightly/simple/ --prerelease allow

Stable:

uv venv
. .venv/bin/activate
uv pip install mojo --extra-index-url https://modular.gateway.scarf.sh/simple/

Run tests

.venv/bin/mojo run -I . tests/test_graph.mojo
.venv/bin/mojo run -I . tests/test_digraph.mojo
.venv/bin/mojo run -I . tests/test_algorithms.mojo
.venv/bin/mojo run -I . tests/test_attrs.mojo
.venv/bin/mojo run -I . tests/test_more_algorithms.mojo

Benchmarks

.venv/bin/mojo run -I . benches/graph_bench.mojo

Examples

Grid pathfinding + visualization:

Grid pathfinding example

.venv/bin/mojo run -I . examples/grid_pathfinding.mojo

If you're using uv run, make sure you invoke mojo run with -I . so Mojo can resolve local modules (like networkx):

uv run mojo run -I . examples/grid_pathfinding.mojo

The visualization script requires the optional dependencies:

uv pip install -e '.[bench]'

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