SAS Model Manager vs. Labellerr

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or projects, develop and validate candidate models, and assess candidate models for champion model selection. They can then publish and monitor champion models. All model development and model maintenance personnel, including data modelers, validation testers, scoring officers, and analysts can use SAS Model Manager.

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling tasks and have modules to manage multiple projects, users, and millions of unstructured data. Teams can perform- 1. Automated data curation 2. EDA (Exploratory Data Analysis) 3. Automated data labeling 4. Quality control with assurance 5. Automated QC 6. Model debugging Data types that it supports are images, videos, text, audio, and PDFs.