nbstripout
Strips outputs from Jupyter and IPython notebooks
Decision gist · record as of 2026-08-14
Yes. This is a stable, actively maintained tool with low install friction and a single lightweight dependency. It solves a real problem for teams using Jupyter notebooks in Git workflows. The MIT license is permissive, there are no known vulnerabilities, and the package is in the top 5000 by download volume. Install it if you work with notebooks in version control.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; nbformat must be installed as a runtime dependency.
- Low friction: single runtime dependency (nbformat), pure Python wheel, and actively maintained with a recent release.
- Requires Python 3.10 or later.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.
last release 2026-02-21 (174 days) · last repo commit 2026-04-11 · 1,476 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,885,518 downloads/mo, #3,465 on PyPI
Alternatives
Verify before relying
pip install nbstripout
nbstripout notebook.ipynb
# Or set up as a Git filter:
nbstripout --install- Whether the package handles all notebook formats (Zeppelin, standard Jupyter) equally well in practice.
- Performance characteristics when processing large notebooks or many files in a repository.
What it is and what it does
nbstripout is a command-line tool that removes output cells and selected metadata from Jupyter and IPython notebooks. It reads a notebook file (or stdin), strips execution results and some metadata, and writes the cleaned version back to the original file or stdout. The tool is designed to be used as a Git filter or pre-commit hook, allowing developers to keep notebook output on disk while preventing it from being committed to version control. This reduces repository size and minimizes diffs when notebooks are re-executed.
The package supports multiple notebook formats including standard Jupyter notebooks (.ipynb) and Zeppelin notebooks (.zpln). It offers both direct file processing and integration with Git workflows through filter installation commands. It can operate on single files, multiple files, or recursively on directories, and includes dry-run and verification modes to preview changes before applying them.
Use it for
- Set up a Git filter to automatically strip notebook output before commits, keeping repositories clean without manual intervention.
- Use as a pre-commit hook in a data science project to ensure notebooks are committed without execution artifacts.
- Retroactively clean output from existing notebooks in a repository using git filter-repo integration.
- Process notebooks in a CI/CD pipeline to verify they can be stripped without errors before merging.
- Strip output from notebooks before sharing them in pull requests to reduce diff noise and file size.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a stable, actively maintained tool with low install friction and a single lightweight dependency. It solves a real problem for teams using Jupyter notebooks in Git workflows. The MIT license is permissive, there are no known vulnerabilities, and the package is in the top 5000 by download volume. Install it if you work with notebooks in version control.
Install
nbstripout on PyPI
Before you install
Low friction: single runtime dependency (nbformat), pure Python wheel, and actively maintained with a recent release. Requires Python 3.10 or later.
Requires Python 3.10 or later; nbformat must be installed as a runtime dependency.
License in practice
MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.
Quickstart
pip install nbstripout
nbstripout notebook.ipynb
# Or set up as a Git filter:
nbstripout --installVerify before relying
- Whether the package handles all notebook formats (Zeppelin, standard Jupyter) equally well in practice.
- Performance characteristics when processing large notebooks or many files in a repository.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagenbformat |
| Maintenance | Actively maintained 174 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,885,518 / month, #3,465 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleFramework :: IPythonFramework :: JupyterIntended Audience :: DevelopersOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Version Control |
Evidence: nbstripout-0.9.1-py3-none-any.whl
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