I needed a better way to archive ML models with their test data—something shareable, reproducible, and clear. EchoReport Lab captures every run: training history, epoch metrics, model summary, TSNE embeddings, line charts, notes, even the source code—bundled into a single HTML output.

View directly in VS Code or browser. Export to PDF for review, annotation, or handoff. Each run is serialized to keep reports straight and eliminate confusion. Ideal for dashboards, internal audits, or archiving.

Hope this is helpful to someone. Check links below.

📦 PyPI Package 💻 Project Repo 📖 README ov-file