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Enterprise Layer Intelligence
Categories/Data Analytics/Observable
Observable

Observable

Founded 2016

Build interactive data visualizations and analytical apps in collaborative JavaScript notebooks

You can use Observable to explore data, build interactive charts, and create shareable analytical dashboards. It combines collaborative web-based notebooks with direct support for JavaScript, SQL, and Python. You can connect your cloud data warehouses like Snowflake and BigQuery directly into your workspace to run queries and visualize results. The system automatically recalculates charts whenever data changes, making reactive exploration simple. Teams can work together in real-time, leave inline comments, and publish dashboards or data apps for stakeholders without managing server infrastructure.

What Observable does

Query SQL databases directly from a notebook cellCreate customized interactive charts using Observable PlotShare live data notebooks with workspace collaboratorsEmbed responsive data visualizations into web applicationsImport CSV and JSON files for rapid browser-based analysisTrack changes and review version history across notebook cellsBuild reactive charts using D3.js and Observable PlotWrite SQL queries directly against cloud data warehousesCollaborate live on notebooks with team members in real-timeExport static web pages and dashboard componentsInspect and explore tabular data using built-in table viewersVersion control projects and track cell-by-cell change historyEmbed interactive charts directly into external websites

Frequently asked

GithubGithubSnowflakeSnowflakePostgreSQLPostgreSQL

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Observable, ObservableHQ, data visualization, D3.js, JavaScript notebooks, reactive notebooks, dashboards, charts, data exploration, SQL queries, data apps, DuckDB, collaborative analytics, data storytelling, data reporting