{"id":26520885,"url":"https://github.com/hiroishida/ompl-thin-python","last_synced_at":"2026-05-09T15:39:25.614Z","repository":{"id":65237444,"uuid":"576903533","full_name":"HiroIshida/ompl-thin-python","owner":"HiroIshida","description":"A thin python-binding of OMPL motion planning library (*For my own research)","archived":false,"fork":false,"pushed_at":"2024-11-02T08:42:07.000Z","size":98,"stargazers_count":4,"open_issues_count":6,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-21T12:50:14.556Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HiroIshida.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2022-12-11T11:18:52.000Z","updated_at":"2024-11-02T08:41:58.000Z","dependencies_parsed_at":"2023-02-16T23:00:57.254Z","dependency_job_id":null,"html_url":"https://github.com/HiroIshida/ompl-thin-python","commit_stats":null,"previous_names":[],"tags_count":18,"template":false,"template_full_name":null,"purl":"pkg:github/HiroIshida/ompl-thin-python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiroIshida%2Fompl-thin-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiroIshida%2Fompl-thin-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiroIshida%2Fompl-thin-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiroIshida%2Fompl-thin-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HiroIshida","download_url":"https://codeload.github.com/HiroIshida/ompl-thin-python/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HiroIshida%2Fompl-thin-python/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32824743,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"online","status_checked_at":"2026-05-09T02:00:06.633Z","response_time":123,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2025-03-21T12:29:48.695Z","updated_at":"2026-05-09T15:39:25.607Z","avatar_url":"https://github.com/HiroIshida.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"## ompl-thin [![pypi-version](https://badge.fury.io/py/ompl-thin.svg)](https://pypi.org/project/ompl-thin/)\nIf you are looking for a thicker wrapper with more extensive features, please refer to OMPL's [official python bindings](https://ompl.kavrakilab.org/python.html).\n\nThe main advantages of this package are fast build times and simplicity.\nThis is achieved by focusing solely on thin-wrapping the OMPL library and leveraging pybind11.\n\nIf your primary use case for OMPL involves articulated robots, we recommend trying [plainmp](https://github.com/HiroIshida/plainmp).\n\n\n## installation\nThe package is available on [pypi](https://pypi.org/project/ompl-thin/). So, to install you just need to\n```bash\npip3 install ompl-thin\n```\nNOTE: binary distribution is available only for x86_64. For other architecture, only source distributions are available and takes few minutes to install. Also, before installation, you need to run the following to get shared dependency.\n```\nsudo apt install libboost-all-dev -y\n```\n\n## Usage\nplease try\n```bash\npython example/many_algorithms.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhiroishida%2Fompl-thin-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhiroishida%2Fompl-thin-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhiroishida%2Fompl-thin-python/lists"}