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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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© 2026 Observable, Inc.
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CommunityExploreForumBlueskyYouTubeX
Nov 6
Release notes: - Switched from jsDelivr to esm.sh for consistent version resolution. observablehq.com/@observableh... - Plot has some new options. github.com/observablehq... - Expanded DuckDB and SQLite support, etc. observablehq.com/@observableh...
Nov 6
NEW FIL MAP STOP SENATE AND HOUSE FLIP STOP observablehq.com/@visionscart...
Nov 6
Try it in a notebook: - observablehq.com/@tophtucker/... - observablehq.com/@tophtucker/...
Nov 6
For #30DayMapChallenge day 4, “Clusters”, @fil.rezo.net ported HDBSCAN to a notebook and wrote some examples. observablehq.com/@observableh...
Oct 25
What do you learn from vibecoding an explanation?
We explore two notebooks by Ricky Reusser: (1) Toiletpaperfullerenes and Charmin Nanotubes (2020) https://observablehq.com/@rreusser/toiletpaperfullerenes-and-charmin-nanotubes and (2) Geodesics in Kerr Spacetime (2026) https://rreusser.github.io/notebooks/kerr-geodesics/ (self-hosted using Notebook Kit). The first was hand-coded; the second was vibecoded. What did he learn from making each of them?
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.
tomNov 6
404 trying to add a notebook to a new collection
I created a new collection, Pathfind, which lives at https://observablehq.com/@tmcw/-/collection/pathfind - and currently it’s empty. When I click “Add Notebooks” on that collection page, I arrive at the URL https://old.observablehq.com/collection/@tmcw/pathfind on old.observable, which is a 404. Looks like a bug in the migration from old to new. 2 posts - 2 participants Read full topic
akrawitzNov 6
Dependency graph and timing (take two)
In my first attempt to ask this question I demonstrated my lack of understanding of Mutables, but didn’t really get at the underlying issue I was trying to understand. So here goes another try… tldr: Why doesn’t the visualization get called when the simulation takes longer than the interval between updates? I have a control variable con that gets updated via the view input event mechanism at an interval controlled by the user using a slider. The control variable is then consumed by a simulation sim that takes a long time to update (in real cases due to lots of compute, but here with a delay of 50 ms). (The simulation is maintained in a Mutable that I hope I am now using correctly!) The simulation is then consumed by a visualization viz that displays the current state of the simulation. If the interval between control updates is longer than the time it takes for the simulation to actually update, then everything works fine. But if the interval between control updates is shorter than the time for the simulation to update, the visualization no longer gets called. I understand that the next update to con is occurring before viz gets called in the current update, but I thought that the computation would get pushed through the whole dependency graph before the next update would be “allowed” to begin. You can try this for yourself in this notebook. First, Start the updates. You will see the visualization updating with each update of the simulation. Now try lowering the interval between updates with the slider. When the interval drops below 50 ms, the updates to the visualization become intermittent and then cease entirely. You can Stop the updates, and Reset the simulation so you can experiment around with it. https://observablehq.com/d/82cee29f690254db 2 posts - 2 participants Read full topic
ehouaisNov 5
Console traces and middle-click
I’m slowly getting used to the new Observable, but 2 little annoyances are still bugging me: There are lots of Observable ‘worker’ traces in the browser console. Would it be possible to remove them ? They are meddling with our own debug traces and make it difficult to use the browser console. Middle-click on links doesn’t work (Refused to load xxx because it does not appear in the frame-src directive of the Content Security Policy.) 1 post - 1 participant Read full topic
dunstanNov 5
Open position: Science Communication and Data Visualization Consultant — Conservation Impact
I saw that the Sound Forest Lab project is looking for a data viz consultant, so I thought I’d share that with the Observable community. I’m not involved with the Sound Forest Lab myself, but everything I’ve heard about them is fantastic. They’re serious and accomplished people doing great work. Project: Soundscape Baselines Project (SBP) Organization: University of Wisconsin–Madison, the Nelson Institute for Environmental Studies & Forest and Wildlife Ecology, the Sound Forest Lab Position type: Fixed-term consultancy, with potential for further collaboration (other arrangements may be possible for existing UW-Madison students and staff) Estimated budget: $5000–$15,000, with possibility of further collaborations, depending on scope and skills You can read more about the project and contact the team at http://soundforestlab.org/opportunities Good luck! 1 post - 1 participant Read full topic
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TYPEWRITER MAP -- U.S. SENATE ELECTIONS 2026
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Hello, esm.sh
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Trump II has decimated federal workers
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Notebooks user guide
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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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