{"package":"r-tidypredict","ecosystem":"conda","latest_version":"1.1.0","description":"It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.","license":"MIT","license_risk":"permissive","commercial_use_notes":"Permissive: commercial closed-source use OK; preserve the copyright notice.","homepage":"https://tidymodels.github.io/tidypredict","repository":"","downloads_weekly":561,"health":{"score":62,"risk":"moderate","breakdown":{"maintenance":20,"popularity":3,"security":25,"maturity":12,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.1.0","total_count":16,"recent":["0.1.0","0.2.0","0.3.0","0.4.1","0.4.3","0.4.4","0.4.5","0.4.6","0.4.7","0.4.8","0.4.9","0.5","0.5.1","1.0.0","1.0.1","1.1.0"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2020-07-23 15:02:35.079000+00:00","last_published":"2026-02-27 08:40:07.027000+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":"1.1.0","version_hint":null,"summary":"r-tidypredict@1.1.0 is safe to use (health: 62/100)"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":488,"_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":16,"first_release_age_days":2108,"last_release_days_ago":64,"avg_days_between_releases":141,"release_velocity":"active"}}