
JupyterLab
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| Fact | JupyterLab | Paperspace Notebooks |
|---|---|---|
| API | A public API is documented for building npm-based JupyterLab extensions and application components. | The Paperspace API lets users programmatically manage Paperspace resources using HTTP requests. |
| Collaboration | Real-time collaboration can be activated by installing the jupyter_collaboration extension. | The service supports inviting collaborators, permissions, and public notebook links. |
| Documentation depth | Documentation includes user guides, developer material, an extension migration guide, API reference, security guidance and a detailed changelog. | The documentation includes API references, CLI references, legacy tool references, authentication instructions, examples, and sample applications. |
| Founded | 2014 | 2012 |
| Languages | Language support is provided through Jupyter kernels, allowing Python, R, Julia and other languages to run through the same interface. | The IDE executes Jupyter files and projects in other languages such as Python. |
| Rating on Capterra | 4.7 out of 5 from 78 reviews | 3.3 out of 5 from 26 reviews |
| Rating on G2 | 4.5 out of 5 from 3 reviews | 4.9 out of 5 from 10 reviews |
JupyterLab suits people working in interactive, exploratory computing, including data science, scientific computing, computational journalism, and machine learning. It is designed for users comfortable installing and managing software locally.
It suits people developing or exploring data in Jupyter, especially those who need GPU compute or shared notebook work. Teams can use its collaboration controls, while access to S3-compatible sources requires a Pro or Growth subscription.