jupyterlab-execute-time

What it is and what it does

jupyterlab-execute-time is a JupyterLab extension that adds cell execution timing display to the notebook interface. When installed and enabled, it automatically configures JupyterLab to record execution duration in notebook metadata and renders that timing information visibly in the UI for each cell. The extension depends only on jupyterlab itself and installs as a prebuilt wheel, requiring no compilation or additional system dependencies.

The extension is designed for users who want to monitor cell performance during interactive development or data analysis work. It reads timing data that JupyterLab records natively and presents it in the notebook view. The project is actively maintained, supports Python 3.7 through 3.11, and is compatible with JupyterLab 3.0 and later, including version 4.

Use it for:

• Identify slow-running cells in data analysis notebooks to optimize computation or queries
• Monitor performance of machine learning model training or inference cells during development
• Track execution time trends across notebook reruns to detect performance regressions
• Understand resource usage patterns in long-running computational workflows
• Debug performance issues in interactive data exploration by seeing which cells consume the most time

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

A JupyterLab extension that displays the execution time of each cell in the notebook interface, automatically recording timing metadata when enabled.

Yes. The extension is low-friction to install, actively maintained, carries no security vulnerabilities, and solves a concrete problem for notebook users who need execution timing visibility. The permissive BSD license and small dependency footprint make it safe to add to any JupyterLab environment. Install it if you regularly work with notebooks and want built-in performance insight.

Install

jupyterlab-execute-time on PyPI

pip install jupyterlab-execute-time

uv add jupyterlab-execute-time

poetry add jupyterlab-execute-time

Installing jupyterlab-execute-time

Before you install

Low friction installation as a pure Python wheel with only jupyterlab as a runtime dependency. Active maintenance with a recent release (234 days ago) and 403 repository stars indicate ongoing support.

License in practice

BSD-3-Clause permissive license allows free use, modification, and distribution with minimal restrictions; suitable for most projects. Note that contributions require signing a CLA per the project's policy.

Quickstart

pip install jupyterlab_execute_time

Then launch JupyterLab. The extension auto-enables timing recording in notebook metadata on first load, or manually via Settings > Advanced Settings Editor > Notebook: {"recordTiming": true}

Requires JupyterLab >= 3.0 and Python >= 3.7. Extension displays timing data that JupyterLab itself must record; manual metadata configuration may be needed if auto-setup fails.

Verify before relying

• Whether the extension works with all JupyterLab 4.x versions or only specific releases
• Performance impact on notebooks with hundreds or thousands of cells
• Compatibility with JupyterLab plugins that modify cell execution or metadata handling

Package facts

Evidence: jupyterlab_execute_time-3.3.0-py3-none-any.whl

Keywords: Jupyter, JupyterLab, JupyterLab4

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