Mostly we can install packages and interface is very simple and easy to use also it supports multiple display languages Review collected by and hosted on G2.com.
Jupyter lab is well known for its simplicity in the UI it also supports multiple languages without any issues we can debug our code at ease and also we have a ton of documentation Review collected by and hosted on G2.com.
The best is the introduction of a debugger, callstack, breakpoints to see running interpreters' variables and debug the whole process. Better support to markdown headings and good documentation. Review collected by and hosted on G2.com.
UI is counter-intuitive, it can be more user-friendly, I know it is an open source project still it can have more themes, and design a little bit more class to the front end. A good UI like vscode etc will give it 10/10. Review collected by and hosted on G2.com.
The Visual Debugger is the optimal solution for debugging your Python Code. Also helpful by providing support for multi versions of Python Programming Interface. Able to install new extensions with conda/pip/mamba. Review collected by and hosted on G2.com.
Currently, in this state of improved JupyterLab, I found nothing problematic and at this point, I am completely fine with this. The new features introduced in this version is so much beneficial. Review collected by and hosted on G2.com.