Dataslope vs JupyterLab
Dataslope
dataslope.com
JupyterLab
jupyter.orgSide by side
| Figure | Dataslope | 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 | 4 | 1 |
| Spec score · Coding Playgrounds | 7.7 (#88) | 9.1 (#9) |
| Free plan | Yes | Yes |
| Privacy | The privacy policy says Dataslope does not sell or rent stored account information and that guest use does not require personal information such as a name or email address. | 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. |
| Purpose | Dataslope is a browser-based platform for learning programming and data skills and preparing for coding interviews. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
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.