Compiliz vs JupyterLab
Compiliz
compiliz.com
JupyterLab
jupyter.orgSide by side
| Figure | Compiliz | JupyterLab |
|---|---|---|
| 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 | 7.3 (#119) | 9.1 (#9) |
| Free plan | Yes | Yes |
| Intended users | The maker describes Compiliz as useful for students, teachers, interview candidates, developers, and competitive programmers. | JupyterLab is focused on interactive, exploratory computing and is suited to workflows such as data science, scientific computing, computational journalism, and machine learning. |
| Languages | The FAQ lists Python 3.10, Java with OpenJDK 17, C++ with GCC, JavaScript, Go, Rust, PHP, C with GCC, and Ruby. | Language support is provided through Jupyter kernels, allowing Python, R, Julia and other languages to run through the same interface. |
| Privacy | The privacy policy says the service does not require an account and may collect temporarily stored code snippets, basic usage data, and optional messages. | Project Jupyter says its software normally contains no tracking code and self-hosted installations send no usage information to Jupyter developers; telemetry is opt-in. |
| Security | The maker says code runs in isolated Docker containers that are destroyed after execution, with resource limits and security restrictions. | 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
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.