DevToolsDaily Playgrounds vs JupyterLab
DevToolsDaily Playgrounds
devtoolsdaily.com
JupyterLab
jupyter.orgSide by side
| Figure | DevToolsDaily Playgrounds | JupyterLab |
|---|---|---|
| Price from | $4.99/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Coding Playgrounds | 7.8 (#77) | 9.1 (#9) |
| Free plan | Yes | Yes |
| Languages | The page lists Python, JavaScript, Go, Rust, and Java language playgrounds. | Language support is provided through Jupyter kernels, allowing Python, R, Julia and other languages to run through the same interface. |
| Purpose | The online playgrounds let users write and run code without setup, with some languages running in-browser and others on a server. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
| Security | The privacy policy says no method of internet transmission or electronic storage is completely secure and it cannot guarantee absolute security. | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. |
Plans
In their own words
DevToolsDaily Playgrounds
DevToolsDaily Playgrounds has no write-up on Specifiction yet; its figures are above.
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.