{"package":"amadeus","ecosystem":"cran","latest_version":"1.3.2.1","description":"Accessing and Analyzing Large-Scale Environmental Data. Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and","license":"MIT + file LICENSE","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://niehs.github.io/amadeus/","repository":"https://CRAN.R-project.org/package=amadeus","downloads_weekly":76,"health":{"score":42,"risk":"high","breakdown":{"maintenance":15,"popularity":0,"security":25,"maturity":0,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.3.2.1","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2026-01-26 17:57:35","last_published":"2026-01-26T16:20:02+00:00","dependencies_count":21,"dependencies":["dplyr","sf","sftime","stats","terra","methods","data.table","httr2","rvest","exactextractr","utils","stringi","testthat","stars","tidyr","rlang","nhdplusTools","archive","collapse","Rdpack","jsonlite"]},"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":"1.3.2.1","version_hint":null,"summary":"amadeus@1.3.2.1 is safe to use (health: 42/100)"},"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}}