3DEXPERIENCE Enterprise Data Science vs JupyterLab
3DEXPERIENCE Enterprise Data Science
3ds.com
JupyterLab
jupyter.orgSide by side
| Figure | 3DEXPERIENCE Enterprise Data Science | JupyterLab |
|---|---|---|
| Price from | — | Free |
| Free plan | — | 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 · Data Science Platforms | 7.3 (#16) | 8.5 (#5) |
| Intended users | The cloud platform is described as serving organizations from startups to global enterprises, including aerospace and defense, infrastructure, energy and materials, industrial equipment, and transportation and mobility. | JupyterLab is focused on interactive, exploratory computing and is suited to workflows such as data science, scientific computing, computational journalism, and machine learning. |
| Purpose | Enterprise Data Science solutions turn heterogeneous, multi-source enterprise data into real-time intelligence for faster, better-informed decisions. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
Plans
3DEXPERIENCE Enterprise Data Science
- Enterprise Data Science rolesPriced on request
In their own words
3DEXPERIENCE Enterprise Data Science
3DEXPERIENCE Enterprise Data Science 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.