trainlib is an open-source minimal framework for machine learning modeling. It supports advanced dataset operations and streamlined training, making it suitable for developers and data scientists building ML workflows.
trainlib sits in PulseGate's Data science & ML workbench category. It focuses on simplifying the process of building and training machine learning models with streamlined dataset operations. trainlib is an open-source project aimed at machine learning developers and data scientists. The project is open source (MIT). It runs on the command line.
It is developed by olog, and the product first shipped in 2026. Among its 5 catalogued features are ML modeling, dataset operations, and streamlined training.
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