{"id":20883935,"url":"https://github.com/john-science/expm","last_synced_at":"2025-06-15T14:34:22.631Z","repository":{"id":57427706,"uuid":"255085079","full_name":"john-science/expm","owner":"john-science","description":"Trying to improve performance on Matrix Exponentials in Python","archived":false,"fork":false,"pushed_at":"2024-04-22T22:36:45.000Z","size":57,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-10T09:05:09.263Z","etag":null,"topics":["expm","matricies","matrix-exponentials","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/john-science.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-04-12T13:10:50.000Z","updated_at":"2024-04-22T22:36:48.000Z","dependencies_parsed_at":"2025-01-19T10:40:30.982Z","dependency_job_id":"77386ff3-1e27-46b6-aa1e-225dbeb3042f","html_url":"https://github.com/john-science/expm","commit_stats":{"total_commits":61,"total_committers":3,"mean_commits":"20.333333333333332","dds":0.2622950819672131,"last_synced_commit":"65d9bf287fbc711b7a3ddea7a727ba61aa75be88"},"previous_names":["thejollysin/expm"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/john-science%2Fexpm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/john-science%2Fexpm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/john-science%2Fexpm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/john-science%2Fexpm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/john-science","download_url":"https://codeload.github.com/john-science/expm/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242961086,"owners_count":20213270,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["expm","matricies","matrix-exponentials","python"],"created_at":"2024-11-18T08:08:31.563Z","updated_at":"2025-03-12T17:41:59.112Z","avatar_url":"https://github.com/john-science.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# expm\n[![Build Status](https://travis-ci.com/john-science/expm.svg?branch=master)](https://travis-ci.com/john-science/expm)\n[![codecov](https://codecov.io/gh/john-science/expm/branch/master/graph/badge.svg)](https://codecov.io/gh/john-science/expm)\n\n\u003e Improving the performance of Matrix Exponentials in Python\n\nThis project exists purely out of necessity. The 'truth benchmark' I will use for all testing here will be the SciPy implementation of matrix exponentials\n([scipy.linalg.expm](https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.expm.html)).\n\nI would like to point out that the fastest implementation I have found in preparation for this project was from [rngantner on GitHub](https://github.com/rngantner/Pade_PyCpp/blob/master/src/expm.py).\n\nThe first step in trying to make performant code is to set strict bounds on the problem you are willing to solve. So, the restrictions I will put on my implentation of `expm` will be:\n\n* The code must be callable from Python v3.5 to v3.7.\n* The performance testing will be done on Python v3.6.\n* The matrix will be real-valued.\n* The performance will only be tested against 2D arrays.\n* The performance will not be tested on matricies of size \u003c 10x10.\n* The performance will not be tested on matricies of size \u003e 100x100.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjohn-science%2Fexpm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjohn-science%2Fexpm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjohn-science%2Fexpm/lists"}