---
id: jupyterlab-execute-time
version: "3.3.0"
license: Copyright 2020 D. E. Shaw & Co., L.P. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# jupyterlab-execute-time — Display cell timings in Jupyter Lab

License: permissive · Maintenance: active · Downloads: 98.8K/mo

## 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 above — 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

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

- License: Copyright 2020 D. E. Shaw & Co., L.P. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 98.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

jupyter cell execution time, jupyterlab timing display, notebook cell duration, jupyter performance monitoring, cell runtime metrics, jupyterlab extension timing, jupyter-extension, performance-monitoring

[View on SkillFed](https://skillfed.io/packages/jupyterlab-execute-time) · [View on PyPI](https://pypi.org/project/jupyterlab-execute-time/)