5.9.2 • Public • Published

nbformat: Jupyter Notebook Format

CI Tests

nbformat contains the reference implementation of the Jupyter Notebook format, and Python APIs for working with notebooks.

There is also a JSON Schema for nbformat versions >= 3.


From the command line:

pip install nbformat

Using a different json schema validator

We use fastjsonschema by default. To use jsonschema instead, set the environment variable NBFORMAT_VALIDATOR to the value jsonschema.

Python Version Support

This library supported Python 2.7 and Python 3.5+ for 4.x.x releases. With Python 2's end-of-life nbformat 5.x.x supported Python 3 only. Support for Python 3.x versions will be dropped when they are officially sunset by the python organization.


Read CONTRIBUTING.md for guidelines on how to setup a local development environment and make code changes back to nbformat.

About the Jupyter Development Team

The Jupyter Development Team is the set of all contributors to the Jupyter project. This includes all of the Jupyter subprojects.

The core team that coordinates development on GitHub can be found here: https://github.com/jupyter/.

Our Copyright Policy

Jupyter uses a shared copyright model. Each contributor maintains copyright over their contributions to Jupyter. But, it is important to note that these contributions are typically only changes to the repositories. Thus, the Jupyter source code, in its entirety is not the copyright of any single person or institution. Instead, it is the collective copyright of the entire Jupyter Development Team. If individual contributors want to maintain a record of what changes/contributions they have specific copyright on, they should indicate their copyright in the commit message of the change, when they commit the change to one of the Jupyter repositories.

With this in mind, the following banner should be used in any source code file to indicate the copyright and license terms:

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.

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