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Title:Observable: Explore and visualize data togetherGitHubLinkedInBlueskyYouTubeXGitHubLinkedInBlueskyYouTubeX
Description:Observable's collaborative data canvas helps you explore data, perform analysis, and build expressive charts and dashboards.
HTML Size:190 KB
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Fetched At:November 17, 2025
Page Structure
h1Make your data observable.
h1Make your data observable.
h2Introducing the collaborative data canvas
h2Explore and visualize data
h2Supercharge your workflow with AI
h2Make analysis crystal clear
h2Code if you want to
h2Show off your work
h4Build dashboards
h4Share
h4Interact with data
h4Connect to your database
h4Build with AI
h4Write code
h4Customize your workspace
h4Create better charts
h1Community hub
h3Events
h3ThuDec 4
h3WedDec 10
h3Connect with us
h3New in Notebooks
h3Newsletter signup
h3Videos
h3Data viz fact
h3Spotlight
h2Get started today
Markdown Content
Observable: Explore and visualize data together Join our upcoming webinar on the art and science of data visualization Register - - Platform - Resources - Pricing - Sign in - Get started # Make your data observable. Observable is a new kind of data analysis tool — built for teams, powered by AI, and backed by a global community of data practitioners. Get a demoProduct overview Product manager Data analyst Data engineer Here’s SQL for the total monthly revenue for each Home & Living subcategory # Make your data observable. Observable is a new kind of data analysis tool — built for teams, powered by AI, and backed by a global community of data practitioners. Get a demoProduct overview ## Introducing the collaborative data canvas Go faster together. Bring cross-functional stakeholders into the data workflow by exploring together in real-time. Increase data literacy, discover different perspectives, and uncover insights as a team. Watch the demo Analyze ## Explore and visualize data Query, filter, join, group, derive, and visualize data without hopping between tools. Discover and share insights faster than ever. Accelerate ## Supercharge your workflow with AI Discover more insights while maintaining confidence in the results. AI is interpretable, transparent, and seamlessly integrated. Learn more Refine ## Make analysis crystal clear Fearlessly explore and refine analysis on a spatial canvas. Add annotations as notes to self or others. Evolve ad hoc sketches into powerful interactive visualizations. Extend ## Code if you want to Point-and-click, AI, or SQL? It's your choice. Peruse queries with summary tables. Use AI to draft new SQL queries or Plot code that you can modify as needed. Share ## Show off your work Create and share polished, stakeholder-friendly dashboards in just a few clicks. Embed charts in internal apps to get your team on the same page. FEATURES #### Build dashboards Combine visualizations into a stakeholder-friendly dashboard. #### Share Embed into a host app, send a URL, or export to PNG. #### Interact with data Filter and brush on the canvas, in embeds, or on dashboards. #### Connect to your database Supports Snowflake, BigQuery, DuckDB, Postgres, and Databricks. #### Build with AI Explore, analyze, and create charts with inspectable AI. #### Write code Use SQL and build custom charts with code. #### Customize your workspace Create bespoke components for your team. #### Create better charts Sankeys, beeswarms, bar charts, maps, histograms, (and more!) are built-in! > Observable opened up a new realm of possibilities for what we could do and offer. We created dynamic, interactive experiences that let users visualize and use climate change data in ways that we couldn’t easily support before. Kaitlyn Trudeau Senior Research Associate at Climate Central > AI is critical during all aspects of the discovery process from designing the right graph to tweaking the graph that you need, to getting the right insights for what the user needs. Gabriel COCH Founder, Agropatterns > It's been such an eye opening and exciting process because we're often quite used to spreadsheeting for internal purposes and manually visualizing data. But canvases really help us optimize our analysis and visualization process and saves us time. Clarence Kitt Senior Service Designer, InWithForward # Community hub ### Events ### ThuDec 4 Storytelling with graphics: From raw data to reader impact Register now ### WedDec 10 Live demo: Updates to canvases Register ### Connect with us - Join Slack - Join forum ### New in Notebooks ### Newsletter signup Send ### Videos Keeping Observable Canvases fast with table virtualization Watch now ### Data viz fact Treemaps were created in 1990 as a way to show who was using how much space on a shared 80MB hard disk by subdividing space to reflect the relative sizes of files and directories. Learn more ### Spotlight Storytelling with Data Podcast Observable's Allison Horst talks with SWD's Simon Rowe about building long-lived dashboards. Listen to the episode! ## Get started today Get startedRequest a demo Platform - Observable Canvases - Observable Notebooks - Pricing Docs - Observable - Observable Framework - Observable Plot - D3 - Release notes Resources - Blog - Webinars - Videos - Customer stories - Community Slack - Forum Company - About - Careers - Contact us - Newsletter signup - GitHub GitHubLinkedInBlueskyYouTubeX Platform - Observable Canvases - Observable Notebooks - Pricing Docs - Observable - Observable Framework - Observable Plot - D3 - Release notes Resources - Blog - Webinars - Videos - Customer stories - Community Slack - Forum Company - About - Careers - Contact us - Newsletter signup - GitHub GitHubLinkedInBlueskyYouTubeX © 2025 Observable, Inc.PrivacySecurityTerms of ServiceVulnerability Disclosure