{"package":"recosystem","ecosystem":"cran","latest_version":"0.5.1","description":"Recommender System using Matrix Factorization. R wrapper of the 'libmf' library <https://www.csie.ntu.edu.tw/~cjlin/libmf/> for recommender system using matrix factorization. It is typically used to approximate an incomplete matrix using the product of two matrices in a latent space. Other common names for this task include \"collaborative filter","license":"BSD_3_clause + file LICENSE","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://github.com/yixuan/recosystem","repository":"https://github.com/yixuan/recosystem","downloads_weekly":261,"health":{"score":37,"risk":"critical","breakdown":{"maintenance":0,"popularity":3,"security":25,"maturity":6,"community":3},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.5.1","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2023-05-05 12:03:28","last_published":"2023-05-05T09:40:02+00:00","dependencies_count":3,"dependencies":["methods","Rcpp","float"]},"github_stats":{"stars":85,"forks":27,"open_issues":3,"is_archived":false,"pushed_at":"2023-05-05T10:09:39Z","subscribers_count":13},"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"use_with_caution","issues":["Low health score (37/100)"],"use_version":"0.5.1","version_hint":null,"summary":"recosystem@0.5.1 low health (37/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"hit","_response_ms":0,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false}}