{"package":"arcjetcv","ecosystem":"pypi","latest_version":"1.1.17","description":"Package to process arcjet videos and segment the edge of the shock and of the sample","license":"","license_risk":"unknown","commercial_use_notes":"No license declared in registry metadata — verify manually before commercial use.","homepage":"https://github.com/magnus-haw/arcjetCV","repository":"https://github.com/magnus-haw/arcjetCV","downloads_weekly":49,"health":{"score":62,"risk":"moderate","breakdown":{"maintenance":20,"popularity":0,"security":25,"maturity":15,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.1.17","total_count":51,"recent":["1.1.3","1.1.4.dev0","1.1.4.dev1","1.1.4.dev2","1.1.4.dev3","1.1.4.dev4","1.1.4.dev5","1.1.4.dev6","1.1.4","1.1.5.dev1","1.1.5","1.1.6","1.1.7","1.1.11","1.1.12","1.1.13","1.1.14","1.1.15","1.1.16","1.1.17"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":null,"last_published":"2026-03-26T16:02:23.355866Z","dependencies_count":11,"dependencies":["pyside6>=6.5.0","opencv-python","opencv-contrib-python","numpy","matplotlib","pandas","pyarrow","scikit-learn","segmentation-models-pytorch","torch","torchvision"]},"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":"use_with_caution","issues":["Moderate health score (62/100) — verify manually"],"use_version":"1.1.17","version_hint":null,"summary":"arcjetcv@1.1.17 low health (62/100) — consider alternatives"},"version_scoped":null,"_meta":{"endpoint":"check","tier":"full","philosophy":"DepScope is free. Use the cheapest endpoint that answers your real question.","cheaper_alternatives":[{"endpoint":"/api/exists/pypi/arcjetcv","tokens_estimated":12,"use_when":"you only need to know if the package exists (hallucination guard)"},{"endpoint":"/api/health/pypi/arcjetcv","tokens_estimated":80,"use_when":"you only need a 0-100 score for go/no-go (>=70 = safe)"},{"endpoint":"/api/prompt/pypi/arcjetcv","tokens_estimated":280,"use_when":"you want a plain-text LLM-friendly brief instead of JSON"},{"endpoint":"POST /api/check_bulk","tokens_estimated":60,"use_when":"you have 5+ packages to check; sends one round-trip instead of N"}],"docs":"https://depscope.dev/integrate","hint_bulk":"You've called /api/check 14 times in 60s. Save bandwidth + tokens with POST /api/check_bulk (1 round-trip for N pkgs)."},"requested_version":null,"_cache":"miss","_response_ms":789,"_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":20,"first_release_age_days":null,"last_release_days_ago":37,"avg_days_between_releases":null,"release_velocity":"active"}}