Jupyter Notebook Quick Look vs JupyterLab App
Side-by-side comparison for macOS
Jupyter Notebook Quick Look
5.0Quick Look plugin for Jupyter notebooks
JupyterLab App
7.0Desktop application for JupyterLab
| Metric | Jupyter Notebook Quick Look | JupyterLab App |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 5.0 | 7.0 |
| 30-day Installs | 79 | 125 |
| 90-day Installs | 305 | 389 |
| 365-day Installs | 3.0K | 1.7K |
| Version | 0.2 | 4.2.5-1 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 33 | 4.2K |
| GitHub Forks | 5 | 463 |
| Open Issues | 2 | 125 |
| License | Unlicense | BSD-3-Clause |
| Language | C | TypeScript |
| Last GitHub Commit | 5y ago | 2mo ago |
| First Seen | Oct 4, 2015 | Sep 27, 2021 |
Reviews
Jupyter Notebook Quick Look
Jupyter Notebook Quick Look provides a convenient way to preview Jupyter notebooks using macOS's Quick Look feature. It's ideal for developers and data scientists who work with Jupyter notebooks frequently.
Previews Jupyter notebooks in macOS's Quick Look feature when you press the spacebar on a notebook file.
Pros
- + Quick Look integration for Jupyter notebooks is unique and convenient.
- + Saves time by previewing notebooks without opening the full application.
- + Open-source with a clear repository on GitHub.
Cons
- - No auto-update feature, requiring manual checking for updates.
- - Depends on having the Jupyter app installed, limiting its usability.
JupyterLab App
JupyterLab App is a desktop application that simplifies access to JupyterLab, offering a seamless environment for data analysis and coding. It benefits data scientists and developers by providing an integrated tool for interactive coding and notebook management.
JupyterLab App provides a desktop interface for running JupyterLab, enabling users to execute code, create notebooks, and manage projects directly from their computer.
Pros
- + Open-source with a permissive BSD-3-Clause license
- + Seamlessly integrates with JupyterLab for notebook management
- + Cross-platform support via Electron framework
Cons
- - Lacks auto-update functionality
- - Some users have encountered issues with Jupyter server and export features