mlango is a Python framework that provides a batteries-included structure for machine learning, analytics, and LLM-powered agent applications. Inspired by Django, it offers integrated tools for experiment tracking, model registry, data versioning, evaluation, and deep learning workflows. It enables data scientists and ML engineers to focus on their models and agents rather than infrastructure and boilerplate code.
mlango sits in PulseGate's Data science & ML workbench category. It focuses on building and managing complete machine learning, analytics, and LLM agent projects without assembling and gluing together dozens of separate libraries. mlango is an open-source project aimed at developers. The project is open source (MIT). It runs on the command line and API.
It is developed by Denis Drobyshev, and it first shipped in 2026. Among its 5 catalogued features are Experiment Tracking, Model Registry, and Data Versioning.
Summary written by a language model from the project’s public pages.
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