NotebookPolish
A pre-submission cleanup for data scientists and analysts that runs their Jupyter notebooks through strict linting, catches silent bugs, and produces a client-ready version with the messy cells hidden.
Data scientists, analysts, and researchers who hand notebooks to non-technical stakeholders
- One-click audit that flags dead code, hidden state, and reproducibility risks
- 'Client mode' export that hides scratch cells and produces a clean HTML/PDF
- Lineage notes that explain what each cell is doing in business terms for reviewers
- Version diff between notebook drafts so a manager can review changes over time
Ruff's jump from 59 to 413 default rules means Python notebooks will suddenly emit many more warnings — non-engineer data teams need a tool that hides that complexity and just delivers clean output.
Notebooks-as-deliverable is a documented pain (Medium articles, Stack Overflow threads on hiding code for clients), but the existing free tooling (nb-clean, nbstripout, Jupyter Book cell tags, nbconvert) already absorbs most of the demand.Tired of messy notebooks? Here's how to turn them into clean, maintainable projects ↗nb-clean · PyPI ↗
Crowded with free/open-source incumbents: nb-clean, nbstripout, nbdev, Jupyter Book, Ruff itself, and skills.rest's notebook.lint all address overlapping pieces of the workflow.nbstripout: strip output from Jupyter and IPython notebooks ↗Hide or remove content - jupyterbook.org ↗
Hard to charge when the stack is free: nb-clean, nbstripout, Jupyter Book, and Ruff are all open-source with no paid tier, and the niche 'client-ready polish' is too thin to anchor a SaaS business.nb-clean · PyPI ↗GitHub - srstevenson/nb-clean ↗
Jupyter notebooks remain the lingua franca of data science and the handover-to-stakeholders pattern is durable, but the Ruff-trigger narrative is short-lived since teams will just configure Ruff quietly.Ruff v0.16.0 - astral.sh ↗
Trivial wrapper: run Ruff on cells, run nb-clean, apply hide_input tags, export via nbconvert — a weekend project for one engineer.notebook.lint: Quickly improve Jupyter notebooks' appearance ↗