Efficient and high-performance community detection in large-scale graphs, built with Rust for speed and scalability.
Project description
Python Multi-Objective High-performance Evolutionary Algorithms for Community Detection
Overview
pymocd is a Rust-powered Python library designed for efficient multi-objective evolutionary algorithms in community detection. It enhances performance over traditional methods, making it ideal for large-scale graph analysis. This project continues from re-mocd.
Features
- High-performance Rust backend for computational efficiency
- Multi-objective optimization for better community structures
- Scalable to large graphs
- Easy-to-use Python API
Installation and Usage
Visit the documentation (TODO) for detailed instructions and examples.
Contributing
Contributions are welcome! If you have ideas for improvements, feel free to submit issues or pull, this project is licensed under the GPL-3.0 or later.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pymocd-0.1.0.tar.gz.
File metadata
- Download URL: pymocd-0.1.0.tar.gz
- Upload date:
- Size: 136.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
41947a711c7de5c513f9b702661bbfa1259697d7ceb0f9feb57b674f0a1a54fc
|
|
| MD5 |
edd0a7aae3f7d9223d9c3f7701b13d70
|
|
| BLAKE2b-256 |
ce7d44239771f9abf43c64c9a7e670eeab227521e00171667ccda8a3ff20bcf6
|
File details
Details for the file pymocd-0.1.0-cp312-cp312-win_amd64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 378.2 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0805bd11bd3dd75fd446e6a383d26286fbd3dfbee9ce29e239274c647e9d8b21
|
|
| MD5 |
f2f315ef42c2212fdaf20815f1c030d8
|
|
| BLAKE2b-256 |
e11ddf540be8e3df18d14593f96ef5dbf3f69f46490e672e0704d1b66baab414
|
File details
Details for the file pymocd-0.1.0-cp312-cp312-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp312-cp312-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 460.9 kB
- Tags: CPython 3.12, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c0ef3a220881e7ef56daeeb0c847bed423b7cbb99ba3c5cc3e716a19e614c3b6
|
|
| MD5 |
dacad160261e666a497631c70f2e92ed
|
|
| BLAKE2b-256 |
79ce5f5bb5945867c2558609c049866dd617d37623ecaab3ae90542e82a8b233
|
File details
Details for the file pymocd-0.1.0-cp312-cp312-macosx_11_0_arm64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 406.3 kB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
549e2cc4f3cad44a0705d9a5ac833fecdfd4312d11b32ab1ddf05ffc9df8fb13
|
|
| MD5 |
eccbabcc7cb41e10ee4baa0feb2f79eb
|
|
| BLAKE2b-256 |
d30e73570318513302d965084dbb30ba88c0de6f1440021a5fb64c4f9536834c
|
File details
Details for the file pymocd-0.1.0-cp311-cp311-win_amd64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 378.4 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
80228a35545155c9083d9a690c999c9cc3474d3d3a69b697974307e7756cad48
|
|
| MD5 |
8055052c7d7d5073ed076fc8d7644e66
|
|
| BLAKE2b-256 |
a9c1b1dff8bf6d0373ebfb1e1c8bae5b064634a496d53866c920d04caf71e25d
|
File details
Details for the file pymocd-0.1.0-cp311-cp311-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp311-cp311-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 461.1 kB
- Tags: CPython 3.11, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
58eb8417cf66dedf27212f18f234a9471c3d0eeb27b5609e864ed5912d4d8bc4
|
|
| MD5 |
1bd902a7af48684f96d483a24607859a
|
|
| BLAKE2b-256 |
b9543c188bfd558ef823e68d459d3aa320f062e6ccc4b6e6f95b19456deebc08
|
File details
Details for the file pymocd-0.1.0-cp311-cp311-macosx_11_0_arm64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 409.4 kB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
552fed99cbe13bdf986e3b1f631e12a6a414f3770d10c0d799593705f6f9b91d
|
|
| MD5 |
c12be593e66cc66ecb371d56eb737129
|
|
| BLAKE2b-256 |
acea8b8960514c51495ddc83012abbab6b247133f81034faec85944afa82c221
|
File details
Details for the file pymocd-0.1.0-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 378.8 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d3f356f6ce7c17334f49469b6662774e4232af5f639184542687947cb4a73415
|
|
| MD5 |
cb47ee503f426a60e8fa02ac60f700fd
|
|
| BLAKE2b-256 |
e318203dda664de6a84a5d5ebf1f789a27ada26c083645f3a1ce02a6c3fd17a1
|
File details
Details for the file pymocd-0.1.0-cp310-cp310-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp310-cp310-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 460.6 kB
- Tags: CPython 3.10, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e8fad7b39bb4a25e21fa9c27738fc4c9d08de031d99e215740dff19d96bc4de8
|
|
| MD5 |
d79e0fa32d8889755c3710f8b872d8d5
|
|
| BLAKE2b-256 |
235f901fde2bc667bfc8cbb87504bb177c700119632833e5cf51b083c4ed5e56
|
File details
Details for the file pymocd-0.1.0-cp310-cp310-macosx_11_0_arm64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp310-cp310-macosx_11_0_arm64.whl
- Upload date:
- Size: 409.7 kB
- Tags: CPython 3.10, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b284bf15353905952d1af6263fa7030d5b4bee9da96d9e19f3885fe3ab6c5c0
|
|
| MD5 |
0e54c9b86f3cc99350000516933c340f
|
|
| BLAKE2b-256 |
f69106e7d510dd72620f3e323306e0eb6fe6c2f7dec855b4fe690c286f023d34
|
File details
Details for the file pymocd-0.1.0-cp39-cp39-win_amd64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 379.8 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d3a39d11086813c459d70025e8bc73f0c9fc7e85cc8b7f3c070a67a4217894e0
|
|
| MD5 |
7b4662d3454b127d7bc3f7c198906164
|
|
| BLAKE2b-256 |
2b30fcb749dcadaf4d6e57fd3049048e0a2d46aaca137027712d7a36a0ad4934
|
File details
Details for the file pymocd-0.1.0-cp39-cp39-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp39-cp39-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 461.7 kB
- Tags: CPython 3.9, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
20b55b0428a0de964ecc7324413d96310f64d74941f7f1928cf139ddc2bfa9dc
|
|
| MD5 |
8392ba4a7e0a7d5df2cd8cf7f0d2ef9e
|
|
| BLAKE2b-256 |
7d8c9078ea7a888ec2aea3770b6fad642690916f577adb583c8a1420527beb8a
|
File details
Details for the file pymocd-0.1.0-cp39-cp39-macosx_11_0_arm64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 410.7 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9f8bc8cb5124d8290babdf86a1b28eb6821f58569b9e72f9be82c8f175e11809
|
|
| MD5 |
bf0fe63bc7a5d68be8fda0caaecca6b9
|
|
| BLAKE2b-256 |
bc21f8acae35a7d02ec32cbcda9f58fd652e37d966b09197fdbe5376d65a5141
|
File details
Details for the file pymocd-0.1.0-cp38-cp38-win_amd64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 380.0 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
efdc06072279ff461e54d33ab222e575dd18e36fdac05ce40daa54e62de94262
|
|
| MD5 |
c91681ade258f35aca8ede3a92e701bf
|
|
| BLAKE2b-256 |
2ba048463ed6bbe02e86ef1e90130680ba13a6492425077d05d32ef9b9946e8f
|
File details
Details for the file pymocd-0.1.0-cp38-cp38-manylinux_2_34_x86_64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp38-cp38-manylinux_2_34_x86_64.whl
- Upload date:
- Size: 461.3 kB
- Tags: CPython 3.8, manylinux: glibc 2.34+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8a9fab5f40986ff321b9b9742ab49f7d16dcaf827ad33108f0dbd28726a4aabe
|
|
| MD5 |
4756a61327c734c0e473d937d7a35bae
|
|
| BLAKE2b-256 |
e78a4a39ab30dbd3081dcf0510bdf2404796d40d564a1f2fb8a9c38ecce7ceb8
|
File details
Details for the file pymocd-0.1.0-cp38-cp38-macosx_11_0_arm64.whl.
File metadata
- Download URL: pymocd-0.1.0-cp38-cp38-macosx_11_0_arm64.whl
- Upload date:
- Size: 410.6 kB
- Tags: CPython 3.8, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
597157964e8fad1bc7d992724203dc8885148824ff1625e5c97647596ae6ec43
|
|
| MD5 |
027315c616d4584522ae409c423ffbb8
|
|
| BLAKE2b-256 |
8c5284d4d2efddba1b578859ad955b5398ac0848fffb1d9c2a1232d9973baba6
|
