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The computational, collaborative, agentic document
where everyone answers questions with data

Observable notebooks are lightweight documents that let you think, explore, and explain with code. Quick to sketch and infinitely flexible, use them to analyze or visualize data, craft beautiful explanations, and support data-driven workflows with custom apps.

Generative art
Advanced data visualizations
Ad hoc data analysis
Explorable explanations
Powerful data apps
Five seconds to chart

We’re impatient because time is precious. Speed determines not just how long a task will take, but whether you do it at all. Observable accelerates the feedback and discovery loop. Inventing software should be a joy and not a chore.

Write faster by hand or with an agent. Quickly draft analysis in an Observable chat, then transition to a notebook to get hands-on. Or start directly in a notebook.

Batteries included. Query data, visualize, add interaction. Everything you need to immediately start analyzing data.

File attachments
Databases
Secrets
Libraries
Inputs

Just start writing. Edit and run code with a minimal UI that gets out of your way.

Cell editor showing Markdown
Understand your code

Even simple programs can be hard to understand. And yet the more we understand, the more we can get computers to do what we want. Code isn’t just execution instructions — code formalizes and clarifies thought. Observable aids interpretation by decomposing logic into cells, minimizing hidden state, and showing live values.

Inspector showing fetched API response
Dataflow panel showing cell topology

There’s more to see than console.log. In Observable, live values are shown adjacent to the code that defines them, while the dataflow panel gives an overview of the whole notebook. Observable reduces context switching by integrating running, reading, and editing code.

Literate programming. Explain code by interleaving prose and visuals. Reorder cells to make sense to you, not the computer.

# Title
md
Plot.rectY(data, …).plot()
ts
Paragraph describing the chart above…
md
const data = sql`SELECT date, value FROM …`;
ts

Better for agents, too. Like you, the Observable agent can inspect runtime values, see interactive selections in charts and maps, and inject code into the running program.

Runtime inspection
User interaction
Incremental execution
Work better together

The best work happens when people work together. But trust varies wildly across social boundaries, so collaboration can’t be one-size-fits-all. Observable supports both real-time multiplayer editing and git-style fork-and-merge workflows. And comments. And fine-grained access. And unlisted notebooks, versioned publishing, and more.

Network diagram showing forks of a notebook in phyllotaxis arrangement

Notebooks are re­mixable, re­composable software. Any notebook can be forked and any value imported. Forking lets you copy a notebook and edit it. Merging lets you review and apply changes from one notebook to another — even across teams.

No stepping on toes. Built-in version history means you can review changes and rewind them at any time. (You can fork versions, too.)

Panel showing notebook edit history with multiple versions and authors

A place for everything and everything in its place. Team workspaces allow serendipitous coordination and centralized management of data sources, component libraries, and more.

import {BarChart} from "observable:@acme/bar-chart";
ts
import {queryDailyActiveUsers} from "observable:@acme/metrics";
ts
Cell editor showing autocomplete for DatabaseClient
Own your work

Take your notebooks anywhere with no strings attached. Local development, self hosting, custom integrations… you name it. Notebooks have a human-readable, plain-text file format and we provide free open-source tooling for generating static sites.

TODO

Open file format and open-source tooling. Edit notebooks in your preferred text editor. Preview live in your browser using Vite. Build and deploy static sites using automated actions.

Boring technology is built to last. Notebooks are written in vanilla JavaScript, TypeScript, HTML, SQL, etc.. Import any library from npm. If it runs on the web, it works in a notebook.

TypeScriptJavaScriptnpmMarkdown

We love open source. The libraries we maintain, including Plot and D3, are downloaded more than a thousand times per second.

d3
d3-shape
d3-force
plot
runtime

Explore the community

Some notebooks are like blog entries, thinking out loud; some are pedagogical examples, offering or seeking feedback; some are precision-honed masterpieces.

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Follow our development

Observable is constantly improving. We rely on you to help us prioritize what we build. Tell us what excites you the most! We discuss our work on our weekly podcast and on the Observable forum, X, and Bluesky.

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Get started

Learn the basics of working in Observable, or fork a notebook to start. Peruse our example, tutorials, and documentation.

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Oct 9
Julio’s bookshelf
If you point to a random book in Julio’s picture-perfect background, has he read it? How many biographies does he read per American president? And is reading dying?
Sep 10
Never don’t rewrite
Last week, Observable launched a total rewrite of notebooks. Contra Joel Spolsky’s advice, Mike Bostock has done many rewrites, from TiVo to Protovis to D3, and itches to do many more. Why?
Jul 19
Seven classic moments in visualization research
Toph recounts seven moments in visualization history, in no particular order: 1923’s gestalt theory, 2025’s graph embeddings, 1933’s map–territory relation, 1975’s splines, 2016’s acquired code of meaning, 2020’s bridging code and interaction, and 1973’s conversation analysis. For sources, see https://observablehq.com/@tophtucker/classic-research-in-data-visualization.
Jul 14
Browsing the new notebook community
Visnu and Toph give a preview of the new notebook listings and editor by surveying some trending community notebooks and highlighting the tiny touches that make the new experience simpler, faster, and more robust.
akrawitzOct 21
tex cells aren't centered with text and are clipped
Compare this sample notebook in “old” Observable: Observable – 21 Oct 26 tex w/text The amount of input that a node, n, receives from a node, m, in the previous layer is determined by the activation of that previous node multiplied by the weight of the connection between the two nodes, am ⋅ wm,n. The total input to a node is the... And in “new” Observable: https://observablehq.com/d/1652c91181b0e2d9 The tex cell is centered with the text in “old” Observable, but is centered with the wider page in “new” Observable. I think in most cases the desire is more likely to be to center the equation with the text. The issue seems to be that the CSS rule for max-width: 640px; doesn’t include .katex-display in “new” Observable. Also, if you look at the second equation on the page, you will notice that it is slightly clipped at the top and bottom in “new” Observable. (At least it is in Chrome on Windows for me.) The issue here seems to be overflow-y: hidden; on .katex-display in “new” Observable. 1 post - 1 participant Read full topic
tomOct 20
Chat is stuck in "Running code" and I can't cancel it
I started this chat a while ago and returned to it now, but it’s stuck in an in-between state - even though I haven’t touched it for a few weeks, it still shows “Running code” and the cancel button doesn’t cancel that. 1 post - 1 participant Read full topic
akrawitzOct 20
New `stdlib` API reference?
The old stdlib has a nice API reference in it’s README on Github: github.com GitHub - observablehq/stdlib: The Observable standard library. The Observable standard library. The new stdlib doesn’t have an API reference on Github or on Observable (as far as I can tell): github.com GitHub - observablehq/notebook-kit: A command-line tool for building static sites from... A command-line tool for building static sites from Observable Notebooks github.com notebook-kit/src/runtime/stdlib at main · observablehq/notebook-kit main/src/runtime/stdlib A command-line tool for building static sites from Observable Notebooks - observablehq/notebook-kit observablehq.github.io Observable Notebooks 2.0 Technology Preview | Observable It appears to be the case that most of the “old” and “new” stdlib are the same, but I’m not sure. So, I don’t feel confident relying on the old API reference, but I don’t know of an alternative. If the new API could be documented by copying the old README and making a relatively small number of edits, that might be worth doing sooner rather than later. 2 posts - 2 participants Read full topic
akrawitzOct 20
Leaving Tinker mode?
Currently, in new Observable, in a published notebook, there are 4 icons on the right side of the page: Files, Dependencies, Tinker mode, and AI For three of them (Files, Dependencies, and AI), if you click the icon once then the relevant functionality appears, and if you click it again the functionality hides. For Tinker mode, clicking it once turns Tinker mode on, but clicking it again does nothing. I think this is counterintuitive and surprising for the user. Since the button is still there, it invites a second click for deactivation. I understand that the situation is complicated, because any changes during Tinker mode by the user could be lost. But it seems like there should be some sort of UI response. Maybe ask the user modally if they want to throw away changes or fork? Or at least let them know that if they really want to leave tinker mode they can just reload the page? 2 posts - 2 participants Read full topic
Oct 15
One thing we’re not planning to port from the old site is the Notion-style “add cell menu”. When introduced in 2022, the extra clicks caused friction and frustration, but many came to depend on it for enumerating possibilities. Today, with AI, it’s hard to justify such a list.
Oct 14
On the occasion of @arrow.apache.org adopting an official logo (see github.com/apache/arrow...), we’ll note that it, and @columnar.tech’s dbc, have been very helpful in rebuilding the notebook data connectors. Better development experience for us, more performant for you. Thank you! 🙏
Oct 14
Thanks again to James for his bookmarklet! Grateful to have been able to point people to it over the last few weeks. Grateful for people finding crafty ways around our gaps. 🫡
Oct 13
“The Fairy Dog Calendar is an exercise in chrono-forming—a magical spell designed to break us out of the black iron prison of Gregorian time.” OK Tom, we do not understand, but we will follow…
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Following
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Polis Regression Analysis - War & Peace in Ancient Greece
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Oct 20
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How Terrain Masking Lets Drones Avoid Detection
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Oct 19
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Polynomial Roots
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Oct 19
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Hello Pele
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Oct 19
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Pele 🌋
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Plot cars’ fuel economy vs. horsepower.

The chart shows a clear negative relationship: as horsepower increases, fuel economy decreases, with the trend line (red) confirming this pattern. Cars are also colored by cylinder count, and you can see that higher-cylinder engines (6 and 8 cylinders, shown in warmer colors) cluster in the high-power, low-economy region, while 4-cylinder cars dominate the low-power, high-economy region.

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Notebooks user guide
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Fetch caching
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Fetch proxying
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