{"package": "multixrank", "summary": "MultiXrank - Universal Multilayer Exploration by Random Walk with Restart. MultiXrank is a Python package for the exploration of heterogeneous multilayer networks, with random walk with restart metho\u2026", "pypi_url": "https://pypi.org/project/multixrank", "piwheels_url": "https://www.piwheels.org/project/multixrank", "releases": {"0.3": {"released": "2024-12-19 10:48:22", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"multixrank-0.3-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/multixrank/multixrank-0.3-py3-none-any.whl", "filehash": "4eb287d21f8fac32a42a0ac8e3c46b7edc3fbb8e0d59caf05e8514abf3c20286", "filesize": 32427, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["networkx", "numpy", "pandas", "psutil", "pyyaml", "scipy"]}}}, "0.1": {"released": "2022-05-16 17:02:15", "prerelease": false, "yanked": true, "skip_reason": "", "files": {"multixrank-0.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/multixrank/multixrank-0.1-py3-none-any.whl", "filehash": "e1bcc38d4552635ebfebebd3649028363dcf9e22e07b552291eeef1334c89c66", "filesize": 30984, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["networkx", "numpy", "pandas", "psutil", "pyyaml", "scipy"]}}}}}