Codesphere vs JupyterLab
Codesphere
codesphere.com
JupyterLab
jupyter.orgSide by side
| Figure | Codesphere | JupyterLab |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Coding Playgrounds | 7.5 (#98) | 9.1 (#9) |
| Intended users | The developer platform is described as suitable for regulated fields including finance, public administration, and critical infrastructure. | JupyterLab is focused on interactive, exploratory computing and is suited to workflows such as data science, scientific computing, computational journalism, and machine learning. |
| Security | The security page describes sandboxed rootless containers, air-gapped deployment options, zero-trust controls, and ISO 27001 and SOC 1 and 2 compliance. | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. |
Plans
Codesphere
- Dedicated installationPriced on request
- Usage-based PaaSPriced on request
In their own words
Codesphere
Codesphere 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.