Open-Source

govML ships 50+ templates, 10 profiles, and 20+ code generators — all open source. It’s the governance framework I built after discovering that every ML project I ran needed the same 30+ documents, and every team was reinventing them from scratch. Why this matters ML governance is the tax you pay to make AI systems auditable, reproducible, and trustworthy. Most teams either skip it (and pay later in failed audits and unreproducible results) or spend weeks building bespoke governance documents for each project. Neither approach scales. govML makes governance a 15-minute setup step instead of a multi-week overhead, by encoding best practices into templates that generate project-specific documentation from configuration. ...

Problem Statement You run an ML experiment. You tweak a hyperparameter. Three weeks later you cannot reproduce the original result because you forgot which config, which seed, which preprocessing step you changed. You have no contracts, no phase gates, no leakage tests. Your experiment notebook is a graveyard of dead cells and commented-out code. govML solves this by giving every ML project a set of enforceable contracts that lock down your environment, data splits, and experiment parameters before you start training. One command scaffolds the full governance structure. Generators produce executable test suites from your config. This tutorial gets you from zero to a governed project in 15 minutes. ...