{"package":"pyplanc","ecosystem":"conda","latest_version":"0.0.2","description":"'PLANC', a highly parallel and extensible NMF/NTF  (Non-negative Matrix/Tensor Factorization) library. Wraps algorithms described in Kannan et. al (2018) <doi:10.1109/TKDE.2017.2767592> and Eswar et. al (2021) <doi:10.1145/3432185>. Implements algorithms described in Welch et al. (2019) <doi:10.1016/j.cell.2019.05.006>, Gao et al. (2021) <doi:10.1038/s41587-021-00867-x>, and Kriebel & Welch (2022) <doi:10.1038/s41467-022-28431-4>.","license":"GPL-2.0-or-later","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://github.com/welch-lab/libplanc","repository":"","downloads_weekly":521,"health":{"score":48,"risk":"high","breakdown":{"maintenance":15,"popularity":3,"security":25,"maturity":3,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.0.2","total_count":2,"recent":["0.0.1post0","0.0.2"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2025-05-16 16:51:01.520000+00:00","last_published":"2026-01-13 00:48:11.477000+00:00","dependencies_count":0,"dependencies":[]},"github_stats":null,"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"safe_to_use","issues":[],"use_version":"0.0.2","version_hint":null,"summary":"pyplanc@0.0.2 is safe to use (health: 48/100)"},"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},"version_history_summary":{"total_versions":2,"first_release_age_days":347,"last_release_days_ago":106,"avg_days_between_releases":347,"release_velocity":"moderate"}}