ipynb-quicklook vs JupyterLab App
Side-by-side comparison for macOS
ipynb-quicklook
6.5Quick Look plugin for Jupyter/IPython notebooks
JupyterLab App
7.0Desktop application for JupyterLab
| Metric | ipynb-quicklook | JupyterLab App |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 6.5 | 7.0 |
| 30-day Installs | 13 | 126 |
| 90-day Installs | 40 | 386 |
| 365-day Installs | 191 | 1.7K |
| Version | 0.1.5 | 4.2.5-1 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 200 | 4.2K |
| GitHub Forks | 9 | 463 |
| Open Issues | 5 | 125 |
| License | MIT | BSD-3-Clause |
| Language | HTML | TypeScript |
| Last GitHub Commit | 2y ago | 2mo ago |
| First Seen | Nov 23, 2018 | Sep 27, 2021 |
Reviews
ipynb-quicklook
A niche Quick Look plugin for previewing Jupyter/IPython notebooks, offering a convenient way to glance at notebook content without opening the file. Ideal for developers and data scientists working with Jupyter notebooks.
Allows users to preview Jupyter/IPython notebooks using macOS's Quick Look feature.
Pros
- + Provides a quick glance at Jupyter notebook content without opening the file
- + Open-source with a MIT license, supporting community contributions
- + Lightweight and dependency-free
Cons
- - Open issue regarding compatibility with recent macOS versions
- - No auto-update feature
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