ipytree
A Tree Widget using jsTree
Decision gist · record as of 2026-08-14
No—unless you are maintaining legacy code already using ipytree. The package is abandoned (last commit July 2023, no releases since August 2022), so compatibility with modern Jupyter versions is unverified, and no maintenance or support is available. For new projects, consider maintained alternatives or native Jupyter widget solutions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires ipywidgets as a runtime dependency; may require manual Jupyter extension installation or configuration depending on your Jupyter version.
- Installation is straightforward via pip or conda with low friction.
- However, the package is abandoned—last release was 2022-08-23 and last commit 2023-07-20—so expect no maintenance, bug fixes, or compatibility updates for modern Jupyter versions.
License · maintenance · safety
MIT License (permissive) — MIT License permits unrestricted use, modification, and distribution with minimal legal constraint, though you assume all risk given the package's abandoned status.
last release 2022-08-23 (1452 days) · last repo commit 2023-07-20
0 known vulnerabilities (OSV.dev, 2026-08-14) · 261,209 downloads/mo, #8,385 on PyPI
Alternatives
Verify before relying
pip install ipytree
from ipytree import Node, Tree
root = Node('Root')
child = Node('Child')
root.opened = True
tree = Tree(nodes=[root])- Whether the widget functions correctly with current Jupyter and JupyterLab versions (3.0+) given the 2023 last commit.
- Whether jsTree library version compatibility has drifted since the last release.
- Whether the package works with modern Python versions beyond those listed in classifiers (3.5 is the highest declared).
What it is and what it does
ipytree is a Jupyter widget that renders hierarchical tree structures in notebooks and JupyterLab using the jsTree JavaScript library. It wraps jsTree's functionality through the Jupyter widgets protocol, allowing you to display and interact with tree-structured data directly in notebook cells.
The package depends on ipywidgets and is designed for exploratory data analysis and visualization in scientific and development workflows. However, it has been abandoned since mid-2023 with no active maintenance, meaning compatibility with recent Jupyter releases is uncertain and bug fixes or feature updates are unlikely.
Use it for
- Display hierarchical file or folder structures in a Jupyter notebook for interactive exploration.
- Visualize nested data (e.g., organizational charts, taxonomy trees) in research or educational notebooks.
- Build interactive tree-based UI components within JupyterLab for data navigation and selection.
- Prototype tree-based interfaces for scientific computing workflows without leaving the notebook environment.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—unless you are maintaining legacy code already using ipytree.
The package is abandoned (last commit July 2023, no releases since August 2022), so compatibility with modern Jupyter versions is unverified, and no maintenance or support is available. For new projects, consider maintained alternatives or native Jupyter widget solutions.
Install
ipytree on PyPI
Before you install
Installation is straightforward via pip or conda with low friction. However, the package is abandoned—last release was 2022-08-23 and last commit 2023-07-20—so expect no maintenance, bug fixes, or compatibility updates for modern Jupyter versions.
Requires ipywidgets as a runtime dependency; may require manual Jupyter extension installation or configuration depending on your Jupyter version.
License in practice
MIT License permits unrestricted use, modification, and distribution with minimal legal constraint, though you assume all risk given the package's abandoned status.
Quickstart
pip install ipytree
from ipytree import Node, Tree
root = Node('Root')
child = Node('Child')
root.opened = True
tree = Tree(nodes=[root])Verify before relying
- Whether the widget functions correctly with current Jupyter and JupyterLab versions (3.0+) given the 2023 last commit.
- Whether jsTree library version compatibility has drifted since the last release.
- Whether the package works with modern Python versions beyond those listed in classifiers (3.5 is the highest declared).
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageipywidgets |
| Maintenance | Abandoned 1,452 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 261,209 / month, #8,385 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaFramework :: IPythonIntended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.3Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Topic :: Multimedia :: Graphics |
Evidence: ipytree-0.2.2-py2.py3-none-any.whl
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