jupyter-archive
A JupyterLab extension to make, download and extract archive files.
Decision gist · record as of 2026-08-14
Yes. This is a well-maintained, low-friction extension that solves a common workflow need—archiving and downloading files—without adding complexity. It has no security issues, a permissive license, and integrates cleanly into JupyterLab 3.0+. Install it if you regularly need to move folders in and out of Jupyter.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires JupyterLab >= 3.0 or Notebook >= 7.0; extension must be enabled via 'jupyter server extension list'.
- Low install friction with a single runtime dependency on jupyter-server.
- The package is actively maintained with a recent release and no known vulnerabilities, making it straightforward to add to an existing JupyterLab setup.
License · maintenance · safety
permissive license (permissive) — BSD license (permissive) permits use, modification, and distribution with minimal restrictions, requiring only preservation of copyright and license notices.
last release 2026-07-30 (15 days) · last repo commit 2026-08-11 · 90 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 172,946 downloads/mo, #10,320 on PyPI
Alternatives
Verify before relying
pip install jupyter-archive
Then restart your JupyterLab server. Right-click folders in the file browser to download as archive or extract archives in place.- Whether the non-blocking archiving behavior applies to all supported archive formats equally
- Performance characteristics when archiving very large directories or many files
What it is and what it does
jupyter-archive is a server and UI extension for JupyterLab that integrates archive operations into the file browser. It lets you download selected folders or the current directory as a compressed archive in your choice of format (zip, tar.gz, tar.bz2, tar.xz), and decompress archives directly within the browser without blocking the Jupyter interface. The extension runs as a server-side component backed by jupyter-server, with configuration options for buffer sizes and flush delays to tune performance for large transfers.
The extension adds context menu items to the file browser and respects format settings configured either in JLab settings or chosen per-operation. It is actively maintained, supports Python 3.10 through 3.14, and has no known security vulnerabilities. Installation is a single pip command followed by a server restart.
Use it for
- Download an entire project folder as a zip archive to share with collaborators or back up locally.
- Extract a tar.gz file uploaded to the Jupyter server without leaving the browser interface.
- Batch-download multiple notebooks and data files as a single compressed archive for offline work.
- Configure archive format globally in JLab settings or override per-download from the file browser menu.
- Decompress experiment results or datasets directly in the file browser after upload.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a well-maintained, low-friction extension that solves a common workflow need—archiving and downloading files—without adding complexity. It has no security issues, a permissive license, and integrates cleanly into JupyterLab 3.0+. Install it if you regularly need to move folders in and out of Jupyter.
Install
jupyter-archive on PyPI
Before you install
Low install friction with a single runtime dependency on jupyter-server. The package is actively maintained with a recent release and no known vulnerabilities, making it straightforward to add to an existing JupyterLab setup.
Requires JupyterLab >= 3.0 or Notebook >= 7.0; extension must be enabled via 'jupyter server extension list'.
License in practice
BSD license (permissive) permits use, modification, and distribution with minimal restrictions, requiring only preservation of copyright and license notices.
Quickstart
pip install jupyter-archive
Then restart your JupyterLab server. Right-click folders in the file browser to download as archive or extract archives in place.Verify before relying
- Whether the non-blocking archiving behavior applies to all supported archive formats equally
- Performance characteristics when archiving very large directories or many files
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release !=3.11.0.*,!=3.11.1.*,!=3.11.2.*,!=3.11.3.*,>=3.10.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagejupyter-server |
| Maintenance | Actively maintained 15 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 172,946 / month, #10,320 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: JupyterFramework :: Jupyter :: JupyterLabFramework :: Jupyter :: JupyterLab :: 3Framework :: Jupyter :: JupyterLab :: 4Framework :: Jupyter :: JupyterLab :: ExtensionsFramework :: Jupyter :: JupyterLab :: Extensions :: PrebuiltLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: jupyter_archive-3.5.1-py3-none-any.whl
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See also nbzip · jupyter-builder · jupyter-ai-chat-commands · jupyter-server-documents · jupyterlab-code-formatter · handy-archives · jupyterlab-chat · jupyterlab · cabarchive · conda-package-handling