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🗂️ Model Versioning and Registry Best Practices

An interactive 3D model registry: a branching lineage graph of model versions you filter by stage and promote toward production by metric threshold.

AI & Machine Learning3DAdvanced60 FPS

A 3D lineage graph where every model version is a node connected to its parent run, colour-coded by stage and lifted toward a glowing "production" ring once its metric clears your promotion threshold.

🔬 What It Demonstrates

How a model registry tracks lineage (parent → child), stage (dev, staging, production, archived) and metrics for every version, so any deployed model can be traced back to exactly how it was produced.

🎮 How to Use

Adjust branches and versions per branch to grow the registry, move the promotion threshold to see which versions qualify for production, switch the metric lens between accuracy and latency, and click any node to inspect it.

💡 Did You Know?

Most real ML incidents trace back not to a bad model, but to nobody being able to say for certain which version — and which training data — was actually serving traffic.

⚙ Under the hood

An interactive 3D model registry: a branching lineage graph of model versions you filter by stage and promote toward production by metric threshold.

Machine LearningModel RegistryVersion ControlData ManagementAI SystemsMetadataThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install