What does jupycat do?

Jupycat focuses on accessing and reading Jupyter notebook cells without opening the notebook UI. It is catalogued under CLI tools & terminal on PulseGate.

Who should use jupycat?

jupycat is an open-source project built for data scientists and developers using Jupyter notebooks.

Does jupycat have a free plan?

Yes — jupycat is open source under the MIT license and free to use.

What platforms does jupycat run on?

jupycat runs on the command line. It can also be self-hosted.

Is jupycat still active?

The GitHub repository shows 14 commits in the last 90 days.

jupycat is developed by ebin7joseph.

Is jupycat open source?

Yes — jupycat is open source under the MIT license, developed on GitHub.

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jupycat

Name: jupycat
Author: ebin7joseph

github.comInfrastructure

jupycat is an open-source command-line tool that allows users to read and extract cells from Jupyter notebooks directly from the terminal. It is ideal for data scientists and developers who want quick access to notebook content without launching the full Jupyter interface.

Open SourceMITCLISelf-hosted

Visit github.com

1star

4features

2026since

Overview

4 features

jupycat is a CLI tools & terminal project. It focuses on accessing and reading Jupyter notebook cells without opening the notebook UI. jupycat is an open-source project aimed at data scientists and developers using Jupyter notebooks. jupycat is open source under the MIT license. It ships for the command line, and it can be self-hosted.

ebin7joseph builds and maintains jupycat, and it first shipped in 2026. Development happens publicly on GitHub with 14 commits in the last 90 days. Among its 4 catalogued features are read notebook cells, command-line interface, and jupyter integration. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

Read notebook cells
Command-line interface
Jupyter integration
Open source

Built with & integrations

Connectors

API

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jun · 19:31 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about jupycat

What does jupycat do?: Jupycat focuses on accessing and reading Jupyter notebook cells without opening the notebook UI. It is catalogued under CLI tools & terminal on PulseGate.
Who should use jupycat?: jupycat is an open-source project built for data scientists and developers using Jupyter notebooks.
Does jupycat have a free plan?: Yes — jupycat is open source under the MIT license and free to use.
What platforms does jupycat run on?: jupycat runs on the command line. It can also be self-hosted.
Is jupycat still active?: The GitHub repository shows 14 commits in the last 90 days.
Who makes jupycat?: jupycat is developed by ebin7joseph.
How long has jupycat been around?: jupycat first shipped in 2026.
Is jupycat open source?: Yes — jupycat is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 1
License: MIT
Built for: data scientists and developers using Jupyter notebooks
Model: Open source
Solves: Accessing and reading Jupyter notebook cells without opening the notebook UI.

Registered as

GitHub: ebin7joseph/jupycat
PyPI: jupycat

Developer

ebin7joseph

Small team

GitHub

Open source

View on GitHub

Stars: 1
Forks: 0
Open issues: 0
Last commit: 5 May 2026
Commits 90d: 14
Contributors: 2
Authorship: Small team
Default branch: main
Latest release: v0.1.0 · 4 May 2026

Index record

Identity confidence: Low · 64
Indexed: 27 Jun 2026
Lifecycle: Alive
Last seen: 27 Jun 2026

Identity audit (12)

Slug: jupycat-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/ebin7joseph/jupycat

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