dow is an open-source CLI tool designed to help machine learning engineers track AI model behavior, detect drift, and ensure reproducibility. It integrates with MCP and provides version control for experiments and model evaluations.
dow sits in PulseGate's Data science & ML workbench category. It focuses on tracking and managing AI model drift and reproducibility for machine learning workflows. dow is an open-source project aimed at machine learning engineers. The project is open source (MIT). It runs on the command line.
Behind dow is theflyingrahul, and the product first shipped in 2026. The project is developed in the open on GitHub with 38 commits in the last 90 days. Among its 5 catalogued features are drift detection, experiment tracking, and version control. It exposes integrations via an MCP server.
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