How can I improve the performance of JupyterLab with extensions?
To improve JupyterLab's performance, consider disabling unused extensions and optimizing the ones you use.
Are there specific extensions that are known to slow down JupyterLab?
Yes, some extensions like large data visualizers or those with heavy background processes can slow it down.
What are some lightweight alternatives to heavy extensions?
You might try using simpler plotting libraries or lighter data manipulation tools that integrate well with JupyterLab.
How can I monitor the performance impact of extensions?
You can use the JupyterLab performance profiler to track resource usage and identify bottlenecks.
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