pivoterpy 2.1.0

Exact clique counting in Python and Rust, powered by the Pivoter algorithm.

pivoterpy

"I fear not the man who has implemented 1000 clique counting algorithms, I fear the man who has implemented 1 clique counting algorithm a thousand times" - Sun Tzu, The Art of War

pivoterpy — exact clique counting in Python and Rust, powered by the Pivoter algorithm (Jain & Seshadhri, 2020). You get a small Python API: build a graph, run pivoter, read counts at global, vertex, or edge resolution. Work is done by a Rust extension by default, with a pure Python backend when you need it.

Repo: github.com/7e6i/pivoterpy · Documentation: 7e6i.github.io/pivoterpy

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Install

pip install pivoterpy

From source (needs Rust + Maturin): clone the repo, then maturin develop --release in the project root. More detail: Installation.

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Quick start

import pivoterpy as pvt

G = pvt.from_edge_list([(0, 1), (1, 2), (2, 0)])
P = pvt.pivoter(G)  # default: resolution="global", backend="rust"

# P.global_counts[k] == number of k-cliques
print(P.global_counts)

Use resolution="vertex" or "edge" for local counts; backend="python" if the Rust wheel is not available. See Usage.

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Citation

Always cite the original Pivoter paper: arXiv:2001.06784.

BibTeX for this package:

@software{anderson_pivoterpy_2026,
  author       = {Spencer Anderson},
  title        = {{pivoterpy}},
  year         = {2026},
  version      = {2.1.0},
  url          = {https://github.com/7e6i/pivoterpy}
}