{"id":51164230,"url":"https://github.com/bianconif/cutpointpy","last_synced_at":"2026-06-26T17:02:17.954Z","repository":{"id":364792340,"uuid":"1264876152","full_name":"bianconif/cutpointpy","owner":"bianconif","description":"ROC analysis and calculation of 'optimal' cut-points for binary classification tasks","archived":false,"fork":false,"pushed_at":"2026-06-14T14:22:03.000Z","size":27,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2026-06-14T15:27:42.346Z","etag":null,"topics":["binary-classification","biomarker-analysis","cutpoint","cutpoint-optimization","roc-analysis"],"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/bianconif.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-06-10T08:59:33.000Z","updated_at":"2026-06-14T14:22:06.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/bianconif/cutpointpy","commit_stats":null,"previous_names":["bianconif/cutpointpy"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/bianconif/cutpointpy","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bianconif%2Fcutpointpy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bianconif%2Fcutpointpy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bianconif%2Fcutpointpy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bianconif%2Fcutpointpy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bianconif","download_url":"https://codeload.github.com/bianconif/cutpointpy/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bianconif%2Fcutpointpy/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34825611,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-26T02:00:06.560Z","response_time":106,"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":["binary-classification","biomarker-analysis","cutpoint","cutpoint-optimization","roc-analysis"],"created_at":"2026-06-26T17:02:13.981Z","updated_at":"2026-06-26T17:02:17.945Z","avatar_url":"https://github.com/bianconif.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# cutpointpy\n____________\nA Python package for estimating the optimal cut-point of a predictor variable (feature) for a binary classification task. It is loosely inspired by [`cutpointr`](https://cran.r-project.org/web/packages/cutpointr/index.html), an optimal cut-point calculation package for [R](https://www.r-project.org/).\n\nThe main use cases of `cutpointpy` are:\n\n - Optimal cut-point estimation\n - Stability analysis of the estimated cut-points through bootstrapping\n - Receiver-operating characteristic curve (ROC) analysis  \n\n## Installation\nComing up soon\n\n## Structure\n  - `cutpointpy.core`: contains the main class (`CutpointCalculator`) with functions `find()` and `bootstrap()` for optimal cut-point estimation and stability anslysis/validation through bootstrapping.\n  - `cutpointpy.utils`: contains ancillary functions including methods for computing performance parameters on binary classification tasks (e.g. accuracy, sensitivity, specificity and AUC)\n\n## Usage\nComing up soon.  \n\n## References\n1. Hassanzad M., Hajian-Tilaki K. [Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review (2024) BMC Medical Research Methodology, 24 (1), art. no. 84](https://doi.org/10.1186/s12874-024-02198-2)\n\n## Note\nThe package is still under development and not fully tested.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbianconif%2Fcutpointpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbianconif%2Fcutpointpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbianconif%2Fcutpointpy/lists"}