DeepFace vs Nyckel

DeepFace has no write-up on Specifiction yet; its figures are above.

Nyckel provides live API endpoints that turn inputs into structured decisions while handling model selection, training, hosting, monitoring, and ongoing improvement. It supports classification, Box Detect, and Search functions, with image classification, object detection, and OCR listed as capabilities. Endpoints become live when created and can return predictions before labeled examples are added. Each prediction includes a calibrated confidence score from 0.0 to 1.0. Reviewed predictions can become training samples; Nyckel retrains and promotes a model only when it scores better than the current one. A REST API uses bearer-token authentication and exposes endpoints for functions, labels, samples, annotations, and invocation. Zapier provides classify, import, and train actions on every plan. Custom models can be deployed in Nyckel infrastructure across AWS, GCP, or Azure regions, or in a customer cloud. The Free plan includes 100 invokes monthly, up to 200 samples, and five functions.