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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.

Trending notebooks
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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.

Release notes
Observable Agent
Observable Chat
Vanilla JavaScript
File attachments
Secrets
DuckDB
Modern standard library
Publish
Author listings
Trending
Databases
Soon
Query snapshots
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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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Get started
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CommunityExploreForumBlueskyYouTubeX
Oct 24
Recent improvements: automatic thumbnails for 2.0 notebooks (and fix thumbnails on Bluesky); add collections and edit their metadata (but not yet their contents); speed up navigating your workspace; see recent comments across all your notebooks in one place. observablehq.com/@observableh...
Oct 24
Notebooks now come with a default @duckdb.org database so you can immediately start querying your file attachments or load something with read_csv.
Oct 24
You can now follow users to see their latest notebooks in the “Following” feed on your homepage. You’ll also get an email when they publish something. And we’ve consolidated the personal and community navigation so you see everything on that left sidebar. observablehq.com/@observableh...
Oct 21
Great post; changes how I look at penguins, their measurement, and Simpson’s paradox itself. @fil.rezo.net reproduced it in a notebook with JavaScript and Plot. observablehq.com/@fil/penguin...
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.
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Release notes 2026-10-23
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Oct 22
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Rates
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Oct 24
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Freedom in the 50 States Diamond
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Oct 24
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Identify penguins by bill shape
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Fil
Oct 21
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Hello fontkit
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Martien van Steenbergen
Oct 24
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How Terrain Masking Lets Drones Avoid Detection
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Oct 19
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Following
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Oct 24
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Amit Sch’s avatarAmit Sch
(15)
Jan 31, 2018
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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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Sep 18
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Chat user guide
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Notebooks system guide
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Oct 12
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Upgrading to Notebooks 2.0
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Toph Tucker
Oct 22
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Fetch caching
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Mike Bostock
Sep 13
8
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Fetch proxying
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Mike Bostock
Sep 13
4
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Programmatic file attachments
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Aug 16
4
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Database clients
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Mike Bostock
Oct 4
5
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Notebook imports
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Mike Bostock
Oct 21
5
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Keyboard shortcuts
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Sep 25
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Secrets
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Oct 21
57
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Mutables
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Oct 22
2
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Invalidation
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Sep 30
42
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Publishing
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Oct 6
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Skills
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Oct 19
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Following
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Oct 24
6
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Imports
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Oct 21
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Implicit imports
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Oct 21
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DuckDB
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Oct 23
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ankitc1010Oct 24
d3-force-wasm: a bit-exact, faster drop-in for d3-force (looking for testers)
Hi all, I’ve built d3-force-wasm, a port of d3-force 3.0.0 to WebAssembly (written in Zig) that aims to be a true drop-in: same API, same node and link objects, and the same output to the last bit, about 5× faster on one thread. d3-force’s own test suite passes unchanged, and a parity harness compares every node against d3-force after every tick across 32 scenarios × 50 seeds. If you have a project with a large or unusual force layout (custom forces, fx/fy pinning, custom random sources, forceLink with string ids), I’d be very grateful if you tried swapping the import and told me whether anything differs. Bit-exact means any difference at all is a bug. Live demo, both side by side: d3-force vs d3-force-wasm https://www.npmjs.com/package/d3-force-wasm GitHub - ankitc1010/d3-force-wasm: Drop-in replacement for d3-force v3 with a Zig/WebAssembly core. · GitHub One caveat: in Chrome the module loads its wasm with top-level await, so bundlers need an ES2022 target. 1 post - 1 participant Read full topic
tophtuckerOct 24
You can now follow people (again)
You can now follow people from their profile to see their latest notebooks on Following and get emailed when the publish something new (configurable in settings). We’ve restored the old follow graph, so you may already be following people. Here’s the most-followed people; here’s whom I follow. Relatedly, we’ve consolidated navigation for the “personal workspace” and the “public workspace”. Rather than make e.g. “Toph” and “Public” separate items in the workspace switcher, I now see both public and personal items here: If you have a team, its navigation remains focused on the team, without community stuff: A related issue is RSS feeds (prev.); it seems rarer today so it’s a priority, but it’s on the list. Let us know if you want it. I’m excited to follow all of you! We’ve had “Trending“ and “Recent”. But “Recent” can get drowned in class assignments, quick tests, and spam (we’re working on it!). And “Trending” has a bootstrapping problem: someone’s gotta be watching “Recent” to give great new notebooks their first stars! With “Following” I now have a high-signal-to-noise feed to appreciate new work even if nobody else has yet. Feedback welcome! 2 posts - 1 participant Read full topic
akrawitzOct 23
Surprises with `display` and `view`
(Sorry for so many posts. Genuinely trying to be helpful. And I find it better to post each topic in a distinct thread instead of a single long list of issues for purposes of discovery and clarity.) I think many users will find it very surprising that when display or view are called from inside a function, they present their output in the cell where that function is defined and not where that function is called. This is confounding enough that I think it would be appropriate to put a brief mention of this where display and view are first introduced in the documentation, with a link to more “advanced” documentation that explains why and provides the solution. The solution being to pass display or view from the calling cell, so that when they are called they have the “correct” scope. Here is a notebook that walks through my experience with this issue: https://observablehq.com/d/8596d725dd5d8d16 1 post - 1 participant Read full topic
subairuiOct 21
Pasting still replaces selected text in read-only mode
I’m not sure if this is the expected behavior, but it’s a little surprising! https://observablehq.com/@pearmini/daily-hanzi-bot 5 posts - 2 participants Read full topic