JupyterLab vs Picode
JupyterLab
jupyter.orgPicode
picode.bunnode.comSide by side
| Figure | JupyterLab | Picode |
|---|---|---|
| Price from | Free | 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 | 1 | 1 |
| Spec score · Coding Playgrounds | 9.1 (#9) | 7.8 (#74) |
| Collaboration | Real-time collaboration can be activated by installing the jupyter_collaboration extension. | The IDE supports shared workspaces with live editing and instant updates. |
| Free plan | Yes | Yes |
| Intended users | JupyterLab is focused on interactive, exploratory computing and is suited to workflows such as data science, scientific computing, computational journalism, and machine learning. | The site describes use for students, educators, interviewers, bootcamps, startups, SaaS teams, and enterprise debugging. |
| Purpose | JupyterLab is a web-based interactive development environment for notebooks, code, and data. | Picode is a browser based online compiler and IDE for running code in more than 20 programming languages. |
Plans
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.