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JupyterLab vs Playcode

JupyterLab

jupyter.org

Playcode

playcode.io

Side by side

FigureJupyterLabPlaycode
Price fromFree$25/mo
Free planYesYes
Free trial—Yes
Open sourceYes—
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
iOS—Yes
Android—Yes
APIYesYes
Self-hostedYesYes
Plans published17
Spec score · Coding Playgrounds9.1 (#9)9.4 (#3)
APIA public API is documented for building npm-based JupyterLab extensions and application components.Playcode exposes one GraphQL endpoint for its operations, with documented operation discovery, errors, consent and idempotency.
Founded20142016
Free planYesYes
Intended usersJupyterLab is focused on interactive, exploratory computing and is suited to workflows such as data science, scientific computing, computational journalism, and machine learning.Playcode describes the Cloud runtime as intended for business websites, MVPs, client portals, dashboards, internal tools, and small full-stack apps, including for nontechnical users.
Rating on Chrome Web Store4.5 out of 5 from 39 ratings0 out of 5 from 0 ratings; the listing says no ratings.
SecurityJavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted.Playcode reports TLS 1.2 or higher, encryption at rest, Cloudflare edge protection, VPN-only server access, and daily encrypted backups.
What it doesJupyterLab is a web-based environment for interactive and reproducible computing with notebooks, terminals, text editors, file browsing and rich outputs.Playcode lets users describe a website or app in natural language, then generates code, previews it, and publishes it.

Plans

JupyterLab

  • JupyterLabFree

JupyterLab pricing →

Playcode

  • FreeFree
  • Pro$25 a month
  • Max$100 a month
  • Top-up 100 credits$25, paid once
  • Top-up 210 credits$50, paid once
  • Top-up 440 credits$100, paid once
  • Top-up 960 credits$200, paid once

Playcode 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

Playcode

Playcode combines an AI builder for websites and apps with a cloud runtime for hosting full-stack projects. Describe a site or app in plain language, then edit it visually or work with its React, Vue, or HTML code. Playcode Cloud includes production hosting, a database, logins, files, background jobs, HTTPS, and WebSockets. It can restore code, files, and database together to a saved point in about a second. Projects can be downloaded as code and moved to another host; Playcode says users own their code. Its agent can build API integrations for services such as Stripe, email, Telegram, and WhatsApp when supplied with required keys. Playcode supports web, Android, iOS, Linux, macOS, and Windows, with real-time collaboration, public sharing, deployment support, and custom domains. The free plan costs nothing and allows three projects, one collaborator, and requires branding. Pro costs $25 a month; Max costs $100 a month. Automatic cross-machine scaling and multi-region failover are still on the roadmap.

Visit playcode.io