> #mlops

Weights & Biases (W&B) is an MLOps platform for experiment tracking, model evaluation, hyperparameter optimization, and dataset versioning, widely used by ML research teams and enterprises.

MLflow is an open-source ML lifecycle management platform that tracks experiments, packages models, and manages deployments, originally developed by Databricks and widely adopted in enterprise ML teams.

DataRobot is an enterprise AI platform that automates the end-to-end process of building, deploying, monitoring, and governing machine learning models at scale. It provides AutoML capabilities alongside MLOps tools to help organizations operationalize AI.

Dataiku is an Everyday AI platform that enables data scientists, analysts, and business users to collaboratively build and operationalize AI projects at enterprise scale. It supports the full ML lifecycle from data preparation to model deployment and monitoring.

Domino Data Lab is an enterprise MLOps platform that helps data science teams develop, deploy, and monitor models in a centralized, reproducible environment. It supports any language, framework, or compute environment with integrated model governance.