single-clustering/Cargo.toml at main · SingleRust/single-clustering · GitHub

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[package]
name = "single-clustering"
version = "0.7.0"
edition = "2024"
authors = ["Ian F. Diks"]
homepage = "https://singlerust.com"
repository = "https://github.com/SingleRust/single-clustering"
license-file = "LICENSE.md"
readme = "README.md"
description = "A high-performance network clustering library implementing community detection algorithms like Louvain and Leiden. Features efficient graph representation, abstract grouping systems, and K-NN graph creation from high-dimensional data. Provides parallel computation support via Rayon for handling large networks."

[features]
default = ["knn"]
# k-nearest-neighbour graph construction from high-dimensional data. Split out so the
# clustering core can be built and tested without the HNSW/kd-tree stack, which does not
# compile on every target.
knn = ["dep:hnsw_rs", "dep:kiddo", "dep:ndarray"]

[dependencies]
anyhow = "1.0.100"
nalgebra-sparse = "0.10.0"
num-traits = "0.2.19"
rayon = "1.10.0"
single-utilities = "0.8.6"
rand = "0.9.0"
rand_chacha = { version = "0.9.0" }

kiddo = { version = "5.2.2", optional = true }
ndarray = { version = "0.16.1", features = ["rayon"], optional = true }
hnsw_rs = { version = "0.3.2", features = ["simdeez_f"], optional = true }

[dev-dependencies]
serde_json = "1.0"
criterion = { version = "0.5", features = ["html_reports"] }

[[bench]]
name = "leiden"
harness = false