kohaku-engine is an open-source Python package designed to streamline configuration and execution for R&D and machine learning workflows. It supports experiment management, hyperparameter sweeps, and workflow automation, making it ideal for researchers and developers working on complex ML projects.
kohaku-engine sits in PulseGate's Data science & ML workbench category. It focuses on simplifying the configuration and execution of complex R&D and machine learning workflows for researchers and developers. kohaku-engine is an open-source project aimed at machine learning researchers and developers. The project is open source (Apache-2.0). The product ships for the command line, and it can be self-hosted.
It is developed by KohakuBlueleaf, and the product first shipped in 2025. The project is developed in the open on GitHub with 10 commits in the last 90 days. Among its 5 catalogued features are experiment management, configuration engine, and hyperparameter sweep.
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