Update Plotly Charts in JupyterLab with ipywidgets Sliders
Bind JupyterLab sliders and dropdowns to Plotly figures so charts update in place without rerunning cells or reloading the page.
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plotlyChoosing Between Jupyter Notebook, JupyterLab, and Voilà for Sharing Interactive Analyses
Guide to pick the right Jupyter delivery method based on interactivity, deployment effort, and version‑control needs.
jupyterJupyterLab Front End and a Custom Kernel: What Does the Messaging Protocol Actually Guarantee for Rich Output?
We are building a custom kernel that implements the Jupyter messaging protocol (JSON messages over ZeroMQ channels, with HMAC signing from the connection file) and want it to work correctly with JupyterLab and the classic Notebook front end without either side knowing about the other beyond the wire contract. Assume recent Jupyter Server and ipykernel-era pr
JupyterLab 3.0 npm‑based extensions: unresolved concurrent installation latency
Goal Determine how JupyterLab 3.0 handles simultaneous extension installs and why latency spikes appear only under concurrent requests. Constraints Extensions must be npm modules pre‑built for the target JupyterLab version. The server uses a lockfile to guard the extension directory. Concurrent installs can trigger race conditions that are not documented. Un
Keyboard navigation and screen-reader semantics in notebook cell workflows vary between classic Notebook and Notebook 7
Jupyter Notebook 7 is implemented with JupyterLab components, so accessibility behavior in the notebook cell workflow follows the JupyterLab front-end architecture rather than the classic Notebook template. Classic Notebook and Notebook 7 expose different DOM structures and focus management models to assistive technology, leaving an unresolved decision about
Extension Entry Point: JupyterLab 4.0 Transition from Server Extensions to Application Extensions
Goal: Determine whether JupyterLab 4.0 allows an extension to declare both the legacy `jupyter_server_extension` entry point and the new `jupyter_server.extension` entry point simultaneously during the migration from the Server Extension system to the Application Extension system. Constraints: The release notes state that legacy server extensions will be dep
Jupyter Notebook output truncation limit across classic and JupyterLab
Goal: determine whether stdout and stderr character-level truncation behaves consistently between the classic Jupyter Notebook interface and JupyterLab, and whether NotebookApp.truncated_output_size is reliably enforced in Jupyter Notebook 7.x. Uncertainty: classic Notebook reportedly truncates long output near 1000 characters by default, while JupyterLab us
Per-cell execution timeout remains absent in JupyterLab 4.x despite kernel interruption and idle culling mechanisms
Context Jupyter Server 2.x introduced KernelManager.cull_connected to control whether kernels with active frontend connections but no recent code execution are culled, complementing the existing cull_idle_timeout and cull_interval settings. However, these idle-culling parameters only affect kernels that have gone completely inactive; they do not interrupt a