pixelator_core_py
Python bindings for pixelator-core, exposing Rust implementations of graph
statistics and community detection algorithms for fast execution from Python.
Features
- Compute graph-level statistics.
- Find connected components (
run_connected_components). - Run community detection with:
- Fast Label Propagation (FLP)
- Leiden
- Hybrid FLP + Leiden flow (
run_hybrid_community_detection)
NB: for the sake of memory efficiency, all these bindings read and write the data from and to parquet files.
Requirements
- Python 3.10+
- Rust toolchain (for building from source)
maturin(installed automatically when usinguv)
CI currently builds wheels for Linux, macOS, and Windows across Python 3.10-3.13.
Installation
Option 1: Local development install (recommended in this repo)
cd packages/python_bindings
uv sync --extra dev --no-install-project
uv run maturin develop
uv sync --refresh --extra dev
This builds and installs pixelator_core into your project uv environment.
Option 2: Build a wheel and install it
cd packages/python_bindings
maturin build --release --out dist/
pip install dist/*.whl
Quickstart
from pixelator_core import (
find_graph_statistics,
run_connected_components,
run_label_propagation,
run_leiden,
run_hybrid_community_detection,
)
parquet_file = "./edgelist.parquet"
# 1) Inspect the graph
n_nodes, n_edges, n_components, frac_lcc = find_graph_statistics(parquet_file)
print(n_nodes, n_edges, n_components, frac_lcc)
# 2) Find connected components and write node partitions
n_partitions = run_connected_components(
parquet_file,
output="./connected_components.parquet",
)
print("Connected components found:", n_partitions)
# 3) Run hybrid graph workflow and write filtered edge list
(
output_file,
pre_recovery_stats,
post_flp_stats,
post_recovery_stats,
) = run_hybrid_community_detection(
parquet_file=parquet_file,
resolution=1.0,
output="./filtered_edge_list.parquet",
flp_epochs=1,
randomness=0.1,
seed=42,
max_iteration=None,
multiplet_recovery=True,
)
print("Filtered edge list written to:", output_file)
print("Pre recovery nodes:", pre_recovery_stats.node_count)
Input and Output
- Input is expected to be an edge-list Parquet file compatible with
pixelator-core. run_connected_components,run_label_propagation, andrun_leidenproduce node-partition Parquet outputs.run_hybrid_community_detectionproduces a filtered edge-list Parquet output.- Output paths are optional; defaults are used when omitted.
Logging
The module initializes Rust logging via pyo3-log when imported. Configure Python logging in your application to surface logs.
Troubleshooting
- Build fails with compiler/toolchain errors:
- Ensure Rust is installed and up to date (
rustup update).
- Ensure Rust is installed and up to date (
- Bindings not updated after build
- Reinstall in the active environment with
uv run maturin develop --release. - Run
uv sync --reinstall-package pixelgen-pixelator-core
- Reinstall in the active environment with
- Architecture mismatch (especially on macOS):
- Ensure Python interpreter architecture matches your target wheel/build.
Development
From the repository root, run Python binding tests with:
bash scripts/test-python-bindings.sh
For a manual build-only flow in packages/python_bindings:
cd packages/python_bindings
uv sync --extra dev --no-install-project
uv run maturin develop
uv sync --refresh --extra dev
License
This package is part of the pixelator-core repository and follows the same license.
2 maintainers
Metadata
2 maintainers
Release files for pixelgen-pixelator-core 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: 63.0 MB
Release files / pixelgen_pixelator_core-0.2.0-cp313-cp313-win_amd64.whl
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| Tags | CPython 3.13 Windows x86-64 |
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Transparency logRelease files / pixelgen_pixelator_core-0.2.0-cp310-cp310-macosx_11_0_arm64.whl
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| Size | 3.0 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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| Download URL | pixelgen_pixelator_core-0.2.0-cp310-cp310-macosx_10_12_x86_64.whl |
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| Size | 3.2 MB |
| Tags | CPython 3.10 macOS 10.12+ x86-64 |
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