This release is a pre-release and may not be stable for production use.
graspologic-native
graspologic-native is a companion library to graspologic. This module is a Python native module created by using
the network_partitions crate from the same repository.
The purpose of this module is to provide a faster implementations of graph/network analysis algorithms in a native
without trying to work through the troubles of releasing Rust crates and Python modules at the same time (in specific
as the Python graspologic module is expected to be far more active than the Rust crates or native modules are).
The only capability currently implemented by this module is the Leiden algorithm, described in the paper From Louvain to Leiden: guaranteeing well-connected communities, Traag, V.A.; Waltman, L.; Van, Eck N.J., Scientific Reports, Vol. 9, 2019. In addition to the paper, the reference implementation provided at https://github.com/CWTSLeiden/networkanalysis was used as a starting point.
Releases
Builds are provided for x86_64 architectures only, for Windows, macOS, and Linux, for Python versions 3.6->3.9.
Build Tools
Rust nightly 1.37+ (we are currently using 1.40) The python package maturin
Please consider using graspologic in lieu of graspologic-native, as the
former will contain some nice wrappers to make usage of this library more pythonic.
3 maintainers
Metadata
3 maintainers
Release files for graspologic-native 1.1.1.dev202202181866660663
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| graspologic_native-1.1.1_dev202202181866660663.tar.gz | 2.5 MB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-win_amd64.whl | CPython 3.6 | abi3 | Windows x86-64 | Details |
| graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.6 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl | CPython 3.6 | abi3 | macOS 11.0+ ARM64, macOS 10.9+ x86-64, macOS 10.9+ universal2 (ARM64, x86-64) | Details |
Total release size: 4.3 MB
Release files / graspologic_native-1.1.1_dev202202181866660663.tar.gz
| Download URL | graspologic_native-1.1.1_dev202202181866660663.tar.gz |
|---|---|
| Size | 2.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f2e1bc3b166d68817ea8539fe92bbba7b52fe5a37d7d67f9f368b2bb2b6ff3be
|
|
BLAKE2b-256 checksum How to use checksums |
9658270387de6454272161db324824f193591a03363f5c4c3cd6e23d7c024b52
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
|
Release files / graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-win_amd64.whl
| Download URL | graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-win_amd64.whl |
|---|---|
| Size | 195.0 kB |
| Tags | CPython 3.6 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
7f56dba4fa380d924a48129346e76790c98722823b8e7b458546a520bc67ae99
|
|
BLAKE2b-256 checksum How to use checksums |
ecbf51854c7d5998f4e13d76ba83bba622a7ed27f9497fac3bc0fc90a65bb8f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
|
Release files / graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.0 MB |
| Tags | CPython 3.6 Linux glibc 2.17+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
3576d27771c860f6c0950c96ab8ff51f59ce17700c3cc7b063f8e4dac8487cf4
|
|
BLAKE2b-256 checksum How to use checksums |
8b599bbe2d0dee4854fedd79d10d6a6fde021879967bf9bfbf7077b4ebb0ff9e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
|
Release files / graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl
| Download URL | graspologic_native-1.1.1_dev202202181866660663-cp36-abi3-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl |
|---|---|
| Size | 597.7 kB |
| Tags | CPython 3.6 abi3 macOS 10.9+ universal2 (ARM64, x86-64) macOS 10.9+ x86-64 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
c6afb6b0781f7de48c22243a82c9ea939dd4a837a765ca35fb1fc32b896f6e01
|
|
BLAKE2b-256 checksum How to use checksums |
b3d4bde75b50cc06792a4021b9294e0bdb1472d3e0893d8438914ed65f5ffc92
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
|
Security for graspologic-native 1.1.1.dev202202181866660663
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
