{"id":"apple-coremltools","name":"coremltools","af_score":53.8,"security_score":54.5,"reliability_score":41.2,"what_it_does":"coremltools is a Python library that converts and manipulates machine-learning models into Apple Core ML format, including reading/writing/optimizing Core ML models and (on macOS) verifying conversions via prediction.","best_when":"You need to package existing ML models into Core ML for on-device inference in iOS/macOS apps, using a Python conversion pipeline.","avoid_when":"You require a standalone REST/GraphQL/SDK web service interface, or you need an HTTP-authenticated API for remote inference.","last_evaluated":"2026-03-29T14:58:32.892466+00:00","has_mcp":false,"has_api":false,"auth_methods":["None (local/offline Python library usage)"],"has_free_tier":false,"known_gotchas":["This is a local Python conversion library rather than a network service; agent integration relies on correct Python environments and supported model formats/framework versions.","Conversion behavior can depend on platform/toolchain and model specifics; agents should validate outputs rather than assume universal conversion success.","No API-rate-limit or HTTP error-code semantics apply (tooling errors are library/exception-based)."],"error_quality":0.0}