---
id: nbtoolbelt
version: "2026.4.1"
license: MIT License Copyright (c) 2017 - Eindhoven University of Technology, The Netherlands Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# nbtoolbelt — Tools to work with Jupyter notebooks

License: permissive · Maintenance: active · Downloads: 201.8K/mo

## What it is and what it does

nbtoolbelt is a suite of utilities for working with Jupyter notebooks at scale, available both as command-line scripts and as importable library functions. It wraps nbformat, nbconvert, jupyter-client, and data libraries (numpy, pandas) to provide operations like validation against the notebook schema, statistical summaries, content extraction, and execution with optional pre/post-processing. The package is particularly useful for educators and researchers who need to automate notebook workflows—validating student submissions, generating exercise templates with fill-in-the-blank sections (the 'punch' tool), or batch-processing collections of notebooks for analysis or transformation.

The tool is production-stable (Development Status 5) and has been maintained since 2017. It targets developers, educators, scientists, and system administrators. All operations are available through a single command-line entry point (nbtb) with per-tool options, or as library calls for integration into larger Python workflows.

Use it for:

- Validate a batch of student-submitted notebooks against the Jupyter schema before grading or processing.
- Generate exercise notebooks by punching holes into template notebooks and distributing them for students to fill in.
- Extract and summarize statistics from a collection of notebooks (cell counts, execution time, output sizes).
- Concatenate multiple notebooks into a single document for report generation or archival.
- Clean notebooks by removing execution outputs, metadata, or specific cell types before version control or sharing.
- Execute a notebook with automatic pre-cleaning and post-processing as part of a data pipeline or CI workflow.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

nbtoolbelt provides command-line and library tools for validating, inspecting, cleaning, executing, splitting, and concatenating Jupyter notebooks, plus a specialized tool for creating exercise notebooks with fill-in-the-blank sections.

Yes. nbtoolbelt is a mature, actively maintained utility for Jupyter notebook automation with low install friction, no security vulnerabilities, and a permissive MIT license. Install it if you regularly work with multiple notebooks, need to validate or batch-process them, or want to automate notebook-based workflows (especially in education or research). It is not necessary for casual single-notebook use.

## Install

pip install nbtoolbelt
uv add nbtoolbelt
poetry add nbtoolbelt

## Installing nbtoolbelt

Before you install: Low install friction with a pure-wheel distribution. Actively maintained as of 105 days ago with support for current Python versions (3.10–3.13). Runtime dependencies are all well-established Jupyter ecosystem packages.

License in practice: MIT License permits unrestricted use, modification, and distribution with minimal obligations—suitable for both commercial and open-source projects.

Quickstart:

pip install nbtoolbelt

from nbtoolbelt import validate
validate('notebook.ipynb')

# Or via command line:
# nbtb validate notebook.ipynb

Requires Python 3.10 or later (supports up to 3.13).

Verify before relying:

- Whether the 'punch' tool for exercise creation integrates with existing learning management systems or grading workflows.
- Performance characteristics when processing very large notebooks or batch operations on hundreds of files.
- Availability and completeness of programmatic API documentation beyond the command-line interface.

## Package facts

- License: MIT License Copyright (c) 2017 - Eindhoven University of Technology, The Netherlands Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 201.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

jupyter notebook command line tools, notebook validation and inspection, batch notebook processing, notebook cleaning and formatting, notebook concatenation and splitting, jupyter notebook utilities, exercise notebook generation, jupyter, notebook-automation, education

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