{"id":37685651,"url":"https://github.com/feilong/searchlights","last_synced_at":"2026-01-18T00:06:46.171Z","repository":{"id":57673380,"uuid":"454554149","full_name":"feilong/searchlights","owner":"feilong","description":"Precomputed searchlights for surface-based analysis.","archived":false,"fork":false,"pushed_at":"2022-08-01T04:19:28.000Z","size":54291,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-07-07T22:02:30.791Z","etag":null,"topics":["brain","fmri","mvpa","searchlight","searchlight-analysis","surface"],"latest_commit_sha":null,"homepage":"https://feilong.github.io/searchlights/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/feilong.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-02-01T21:17:44.000Z","updated_at":"2023-12-25T04:53:47.000Z","dependencies_parsed_at":"2022-08-31T08:22:28.740Z","dependency_job_id":null,"html_url":"https://github.com/feilong/searchlights","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/feilong/searchlights","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/feilong%2Fsearchlights","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/feilong%2Fsearchlights/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/feilong%2Fsearchlights/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/feilong%2Fsearchlights/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/feilong","download_url":"https://codeload.github.com/feilong/searchlights/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/feilong%2Fsearchlights/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28478672,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-16T11:59:17.896Z","status":"ssl_error","status_checked_at":"2026-01-16T11:55:55.838Z","response_time":107,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["brain","fmri","mvpa","searchlight","searchlight-analysis","surface"],"created_at":"2026-01-16T12:32:07.559Z","updated_at":"2026-01-16T12:32:08.082Z","avatar_url":"https://github.com/feilong.png","language":"Python","readme":"[![codecov](https://codecov.io/gh/feilong/searchlights/branch/main/graph/badge.svg?token=A3W4ZK1RAM)](https://codecov.io/gh/feilong/searchlights)\n[![PyPI](https://img.shields.io/pypi/v/searchlights)](https://pypi.org/project/searchlights/)\n[![PyPI - Downloads](https://img.shields.io/pypi/dm/searchlights)](https://pypistats.org/packages/searchlights)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/searchlights)\n\n`searchlights` is a Python package that provides precomputed searchlights for surface-based analysis of fMRI data.\nIt only depends on `NumPy`.\n\n## Installation\nThe package can be installed with pip:\n```bash\npython -m pip install searchlights\n```\n\n## Example usage\n\nThe surface-based fMRI data we usually use (e.g., [Feilong et al., 2018](https://doi.org/10.1016/j.neuroimage.2018.08.029)) are in `fsaverage` space, downsampled to a lower resolution (`icoorder5`, approximately 3 mm vertex spacing).\nThe surface has 9372 vertices for the left hemisphere, and 9370 vertices for the right hemisphere.\nThe code below shows how to get the searchlights for the left hemisphere with a 20 mm radius.\n\n```python\nimport numpy as np\nfrom searchlights import get_searchlights\nsls = get_searchlights('l', 20, 'fsaverage')\n```\n\nSee the [documentation](https://feilong.github.io/searchlights/#example) for more examples and details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffeilong%2Fsearchlights","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffeilong%2Fsearchlights","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffeilong%2Fsearchlights/lists"}