# Storybook vs Jupyter: different tools for different jobs · Stacktree Source: https://stacktr.ee/compare/storybook-vs-jupyter [Skip to content](#main) [Stacktree](/)[Developers](/developers)[Agents](/agents)[Docs](/docs)[Use cases](/use-cases)[Pricing](/pricing)[Blog](/blog)[Dashboard](https://app.stacktr.ee)[Sign in →](https://app.stacktr.ee) By [ Steve Smith ](/about) · Founder, Stacktree · Last updated June 6, 2026 comparison # Storybook vs Jupyter: different jobs, same sharing problem Storybook is a workshop for building and reviewing UI components. Jupyter is a computational notebook for code, data, and analysis. They are not competitors; they barely overlap. This page is honest about that, useful on each tool in its own right, and clear about the one thing they share: both export static HTML that teams still need to share privately. [ Get started free ](https://app.stacktr.ee/?join=1&from=seo_compare_storybook_vs_jupyter) install npx stacktree-install Copy No card · 3 pages free · about a minute ## Storybook vs Jupyter: what is the difference? They are different tools for different jobs, not alternatives. Storybook is a development-only workshop for building, documenting, and testing UI components in isolation. Jupyter is a computational notebook that combines code, prose, data, and visualizations. Choose by the task: component development calls for Storybook; data and computation call for Jupyter. ## What Storybook is for Storybook is, in its own docs' words, "a small, development-only, workshop that lives alongside your app." Instead of booting the whole application to look at one button or one form state, you render specific component variations as stories in isolation. That makes it a place to build, document, and test UI components on their own, with each state laid out and reachable on demand. The audience is broader than just the developer who wrote the component. Storybook lets developers, designers, product managers, and other stakeholders review and collaborate on works-in-progress UI, and check whether the interface looks right, without touching code. It is a front-end tool through and through: the unit of work is a UI component and its variations. ## What Jupyter is for The Jupyter Notebook is a shareable computational-notebook document. Its docs define it as "a shareable document that combines computer code, plain language descriptions, data, rich visualizations like 3D models, charts, graphs and figures, and interactive controls." The notebook interleaves executable code with narrative, so the analysis and the explanation live in one file. Jupyter itself is an umbrella project providing tools and standards for interactive computing. Paired with an editor like JupyterLab, notebooks become an interactive environment for prototyping code, exploring data, and collaborating on it. The unit of work here is computation: cells of code that run and produce outputs, not UI components in isolation. ## The comparison that actually matters The honest framing is that these tools do not compete. Storybook's job is UI component development; Jupyter's job is computational and data work. Neither doc compares itself to the other, because they are not aimed at the same problem. If you are searching "Storybook vs Jupyter" to decide which one to adopt, the real answer is "what are you trying to do," not "which is better." Use Storybook when the work is front-end UI: you are building components, cataloging their states, and want non-developers to review how each variation looks before it ships. Use Jupyter when the work is code and data: you are prototyping, exploring a dataset, or producing charts and analysis you want to present alongside the code that generated them. A team can, and often does, use both at once for entirely separate jobs. The only place they meet is at the very end, when each produces something you need to hand to other people. ## How each exports static HTML Both tools can turn their output into static HTML, but the shape of that output is different, and it is the difference that matters for sharing. Storybook. The command to produce a static build is `storybook build`, which the docs describe as compiling your Storybook instance so it can be deployed. By default it writes the result to a `storybook-static/` folder; you can change the destination with the `-o` / `--output-dir` flag. The result is "a static web application capable of being served by any web server," and it encapsulates all your stories and documentation, including the Storybook manager UI and the preview iframe that renders stories. Note this is a folder of files, not a single document. Some scaffolded projects still carry the legacy `npm run build-storybook` script, but `storybook build` is the current canonical command. Jupyter. The command to convert a notebook to HTML with nbconvert is `jupyter nbconvert --to html notebook.ipynb`. As of nbconvert 6.0 the `--to` argument is required, since the old default was removed. The output is a single HTML file with the same base name as the notebook, placed in your current working directory. It preserves both code cells and outputs: the default `--template lab` produces a full static render that looks very similar to the JupyterLab interactive view, while `--template classic` and `--template basic` give simpler or more minimal renderings. One caveat worth stating plainly: ipywidgets embedded into static HTML are not fully interactive, because there is no live Python kernel behind the page. Embedding requires saving widget state into the notebook metadata first so the widgets render at all, and even then they only display their saved snapshot state. They cannot perform new computation or talk to a kernel after embedding. nbconvert's HTMLExporter exposes widget-related options (such as `jupyter_widgets_base_url` and `widget_renderer_url`) that control how the widget JavaScript loads, while the execute step's `store_widget_state` (default on) writes kernel-created widget state into the notebook so it can be embedded. ## Sharing the output privately Here is the one thing the two tools genuinely share: each ends with static HTML that someone else needs to see. A Storybook build is shared by deploying its static files to a web host. The Storybook docs list options like Chromatic (a dedicated publishing and review service that documents, versions, and indexes UI components), GitHub Pages, Netlify, AWS S3, and CI/CD automation; the deliverable is a published URL for team review. A Jupyter HTML export is a single self-contained file you can attach to an email or drop onto any host. Most of those hosts publish to a public URL. When the work is internal, a client deliverable, or simply not meant for the open web, you want the same static output behind a private link instead. That is the gap Stacktree fills for both. For component work, see [how to host a Storybook privately](/host-storybook-privately). For notebook output, see [how to share a Jupyter notebook as HTML](/share-jupyter-notebook-html). And if an agent is producing either one, it can publish straight to a private link with [publish_html over MCP](/mcp-publish-html), no repo and no build pipeline required. Every URL is unguessable by default, with an optional password or email-domain gate on top. ## Side by side Criterion Storybook Jupyter Primary job Build, document, and test UI components in isolation Prototype code, explore data, present analysis Who uses it Front-end developers, designers, PMs, stakeholders Data scientists, analysts, researchers, engineers Output format Folder of files (a static web application) A single self-contained .html file Export command `storybook build` (writes to storybook-static) `jupyter nbconvert --to html notebook.ipynb` Interactivity of export Manager UI and rendered stories stay interactive Code and outputs render; widgets show saved state only, no kernel Typical audience A team reviewing UI at a published URL Reviewers reading code plus analysis in one document FAQ ## Frequent questions Is Storybook a replacement for Jupyter? + No. They solve different jobs. Storybook is a development-only workshop for building, documenting, and testing UI components in isolation. Jupyter is a computational notebook for prototyping code, exploring data, and presenting analysis. Neither substitutes for the other; pick the one that matches the task in front of you. When should I use Storybook and when should I use Jupyter? + Use Storybook when you are building or reviewing front-end UI components and want stakeholders to check how each variation looks without running the whole app. Use Jupyter when you are writing code, working with data, or producing visualizations and analysis you want to narrate alongside the code that made them. Can Storybook and Jupyter export to HTML? + Yes, both do, but the output differs. Storybook build compiles a static web application into a storybook-static folder of files. Jupyter nbconvert turns a notebook into a single self-contained .html file. One is a multi-file site; the other is one document you can attach or host. Are the exported HTML files interactive? + A static Storybook keeps its manager UI and rendered stories interactive in the browser. A Jupyter HTML export shows code and outputs, but ipywidgets are not fully live: there is no Python kernel behind the page, so widgets only display their saved snapshot state and cannot run new computation. How do I share a Storybook build or Jupyter notebook privately? + Both produce static HTML, which most hosts publish to a public URL. To keep it private, put the output behind an unguessable link with an optional password or email-domain gate. Stacktree does that for both: see host-storybook-privately and share-jupyter-notebook-html for the exact steps. What is the exact command to export each one? + For Storybook, run storybook build, which writes a static site to storybook-static by default. For Jupyter, run jupyter nbconvert --to html notebook.ipynb, which writes a single HTML file with the same base name to your current working directory. Keep reading ## Related guides - [ Host a Storybook privately Take a storybook-static build and put it behind a private, unguessable link. ](/host-storybook-privately) - [ Share a Jupyter notebook as HTML Convert a notebook with nbconvert and share the HTML without making it public. ](/share-jupyter-notebook-html) - [ Publish HTML over MCP How an agent ships a static build or notebook export as a live link, no repo or build. ](/mcp-publish-html) - [ Private HTML hosting Unguessable URLs, password, email-domain gate, and end-to-end encryption. ](/private-html-hosting) - [ All hosting alternatives Compare Stacktree against the other places people publish static HTML. ](/alternatives) - [ Stacktree pricing Flat workspace plans, never per-seat. Solo $19, Studio $79, Firm $249. ](/pricing) References ## Sources and further reading - [ Why Storybook? (official docs) ↗ Describes Storybook as a development-only workshop for UI components. ](https://storybook.js.org/docs/get-started/why-storybook) - [ Publish Storybook (official docs) ↗ The static build, what it includes, and the hosts you can deploy it to. ](https://storybook.js.org/docs/sharing/publish-storybook) - [ Storybook CLI options ↗ The storybook build command, the storybook-static default, and -o output flag. ](https://storybook.js.org/docs/api/cli-options) - [ Project Jupyter documentation ↗ Defines the notebook as a shareable computational document. ](https://docs.jupyter.org/en/latest/) - [ nbconvert usage docs ↗ The --to html command, single-file output, and HTML templates. ](https://nbconvert.readthedocs.io/en/latest/usage.html) - [ ipywidgets embedding docs ↗ Why embedded widgets show saved state only, with no live kernel. ](https://ipywidgets.readthedocs.io/en/stable/embedding.html) ## Got a Storybook build or a notebook to hand off? Put the static HTML behind a private, unguessable link with an optional password or email gate. No repo, no build pipeline. [ Sign up free → ](https://app.stacktr.ee/?join=1&from=cta_compare_storybook_vs_jupyter) install npx stacktree-install Copy Private hosting for the HTML your agents make. 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