A complete scientific CSV intelligence platform. Automate cleaning, generate guided Python notebooks, and render interactive Chart.js dashboards — no server, no install, no code required.
Every cleaning pass, chart, and insight is derived from transparent rules so results are audit-ready for academic and enterprise workflows.
Header normalization, whitespace trim, duplicate removal, and null handling applied in a fixed, reviewable order.
A knowledge base engine turns known column names (medical, financial, jobs) into data-driven, contextual insights.
Every run produces the same .ipynb for the same inputs — version control, peer review, and replication ready.
Walk through the build pipeline. Progress tracks as you click through each step.
Click any module to see the files it owns and the boundaries it respects.
Everything runs in your browser — upload a CSV and generate real artifacts right now.
Switch profiles to see how Notebook Studio performs in academic, SME, and enterprise contexts.
A 90-second tour of the entire cleaning → notebook → chart pipeline.
Download the portable datamentor-skill.md blueprint. Drop it into Claude Code or any Claude-powered tool and it recreates Notebook Studio end-to-end — cleaning pipeline, 10 charts, Pyodide notebook, Firebase auth, and this portal.