Data as a team sport.

Only $9 / editor / month

Analyze live data, rapidly prototype apps, and deploy beautiful dashboards — all while building up a library of reusable code.

Only $9 / editor / month
Feature

A Team Sport

  • JavaScript, reimagined for humans.
  • Thoughtful collaboration through forking, suggesting, and merging.
  • Go realtime with multiplayer editing and commenting.
  • Collaborate in private with your team, or in public with the world.
Feature

Live Data

  • Query your data, live, by connecting securely to SQL databases and HTTPS APIs.
  • Perform ad hoc analysis and rapid response reporting.
  • Build private interactive dashboards.
  • Share team secrets to keep private API keys protected.
Feature

Stay in Sync

  • Stay up-to-date on your team’s latest activity.
  • All your notebooks, organized and easy to find.
  • Incorporate new innovative visualizations and techniques from the community.
Stay in Sync

Sign up for teams

Simple pricing, powerful access control, and centralized billing make it easy to manage a team of any size. And we’re here for you with priority email support, community forums, and tons of helpful examples.

Only $9 / editor / month
(Viewers are free)

Don’t just take our word for it

Roberto Medri

Roberto Medri

@Paradosso

I’ve used @observablehq for a few hours and I don’t want to use anything else ever again for dataviz. This, while knowing well R/Python, and Javascript not at all. The tool is that much better.

Aaron Colby Williams

Aaron Colby Williams

@aboutaaron

@observablehq is my go-to tool for quickly sketching ideas w/o a full dev setup. I was able to share sketches (privately!) and iterate as the story and design evolved. Both graphics started as forks of a notebook I use for almost all my Observable work.

Nicholas Strayer

Nicholas Strayer

@NicholasStrayer

The dance of the random neighbors. I honestly don’t know how people developed algorithms before they could easily watch them run in real time using tools like @observablehq. So helpful to find bugs. #dataviz

Thibaut Tiberghien

Thibaut Tiberghien

@tibotiber

Started playing with @observablehq for data cleaning. Load data from a github #gist, pull in #ramda for data wrangling, and a download button at the end of the notebook. Love the workflow! Iterative, flexible, everything immutable by default and observable (auto update). 🤩

Karim Douïeb

Karim Douïeb

@karim_douieb

The majority of the data preparation and visuals have been developed using @observablehq -> perfect tool for the exploratory phase of any data science/dataviz project.

Carlos Scheidegger

Carlos Scheidegger

@scheidegger

This is the most exciting product to come out this year, and it’s not particularly close.