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JupyterLab vs Observable

JupyterLab

jupyter.org

Observable

observablehq.com

Side by side

FigureJupyterLabObservable
Price fromFree$22/mo
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYes—
Self-hostedYesYes
Plans published14
Spec score · Coding Playgrounds9.1 (#9)8.4 (#34)
Spec score · Notebook Software8.8 (#4)7.9 (#16)
Spec score · Scientific Computing Notebooks8.6 (#4)7.7 (#9)
CollaborationReal-time collaboration can be activated by installing the jupyter_collaboration extension.Observable supports real-time multiplayer editing, fork-and-merge workflows, comments, fine-grained access, and version history.
Founded20142016
Free planYesYes
PurposeJupyterLab is a web-based interactive development environment for notebooks, code, and data.Observable notebooks are lightweight documents for analyzing and visualizing data, explaining ideas with code, and supporting data-driven workflows with custom apps.

Plans

JupyterLab

  • JupyterLabFree

JupyterLab pricing →

Observable

  • FreeFree
  • Pro$22 a month
  • TeamPrice not published
  • EnterprisePriced on request

Observable pricing →

In their own words

JupyterLab

JupyterLab is a web-based environment for interactive work with notebooks, code and data. Its workspace brings notebooks, text editors, terminals and custom components together in tabs and splitters. Code consoles act as scratchpads, and kernel-backed documents can run code in files such as Markdown, Python, R and LaTeX. It supports the .ipynb format used by classic Jupyter Notebook, and can view and edit formats including Markdown, images, CSV, JSON, HTML, LaTeX and PDF. Visualization libraries include matplotlib and Plotly; interactive plots or widgets may require additional packages. Extensions can add themes, viewers, editors, output renderers and interface controls, but can execute code in the browser, server and kernel, so only trusted extensions are advised. Real-time collaboration can be enabled with jupyter_collaboration. JavaScript and HTML outputs from notebooks created elsewhere remain hidden until the notebook is trusted. JupyterLab is free, open-source software under a modified BSD license, installed with pip or via a Homebrew command for macOS and Linux. It runs on Linux, macOS, the web and self-hosted systems.

Visit jupyter.org

Observable

Observable provides notebooks for analyzing and visualizing data, explaining ideas with code, and building data-driven workflows or custom apps. Notebooks use cells, display live values beside code, and include a dataflow panel for tracing program behavior. Collaboration includes real-time editing, comments, fork-and-merge workflows, fine-grained access, and version history. Built-in inputs include files, databases, secrets, libraries, and other inputs. Hosted connectors cover Redshift, BigQuery, Databricks, Mongo SQL, MySQL, Oracle, PostgreSQL, Snowflake, and SQL Server. Database clients work from private notebooks; sharing or publishing a connector-based notebook revokes that database access. Observable supports web use, local development, self-hosting, custom domains, public sharing, and deployment. Open-source tooling can generate static sites, and notebooks use readable plain text with web-compatible npm libraries. Free costs nothing. Pro is $2,225 a month as listed, billed $22 per month annually or $25 monthly; Team is $4,045 a month as listed.

Visit observablehq.com