treelib
A Python implementation of tree structure.
Decision gist · record as of 2026-08-14
Yes. Treelib is a mature, actively maintained library with no known vulnerabilities, minimal dependencies, and broad Python version support. It solves a straightforward problem—simple tree data structures—without bloat. Install it if you need basic tree operations and console visualization; skip it if you need advanced graph algorithms or specialized tree types (e.g., balanced trees, tries).AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later.
- Low friction install with a single lightweight dependency (six).
- Actively maintained with recent releases; last commit on 2026-08-13 and over 870 repository stars indicate ongoing support.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), which allows commercial and private use with minimal restrictions—suitable for most projects.
last release 2025-06-29 (411 days) · last repo commit 2026-08-13 · 870 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,793,127 downloads/mo, #3,552 on PyPI
Alternatives
Verify before relying
pip install treelib
from treelib import Tree
tree = Tree()
tree.create_node('Root', 'root')
tree.create_node('Child', 'child', parent='root')
print(tree)- Whether the tree implementation supports all standard tree operations (insertion, deletion, search, traversal methods) beyond basic node creation.
- Performance characteristics for large trees or deeply nested hierarchies.
- Whether visualization/rendering output formats are customizable beyond console display.
What it is and what it does
Treelib is a Python library that implements a tree data structure—a hierarchical collection of nodes where each node can have parent-child relationships. It abstracts away the complexity of manually managing node pointers and tree traversal, letting you focus on building and working with tree-shaped data. The library is designed for simplicity: you create nodes, link them together, and the tree handles the structure. It includes built-in display capabilities, likely for console output, making it useful for visualizing hierarchies during development or in terminal-based tools.
The package depends only on six, a Python 2/3 compatibility layer, keeping its footprint minimal. It supports Python 3.7 through 3.13 and is classified as production-stable. With over 1.7 million monthly downloads and a position in the top 5000 PyPI packages, it has established itself as a go-to choice for developers needing a lightweight, no-fuss tree implementation without the overhead of more specialized graph libraries.
Use it for
- Build file system or directory tree representations for explorers or navigation tools.
- Create organizational hierarchies or family trees for display and traversal.
- Implement parse trees or abstract syntax trees for simple language processing tasks.
- Display menu structures or nested configuration hierarchies in CLI applications.
- Model hierarchical data like category taxonomies or DOM-like document structures.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Treelib is a mature, actively maintained library with no known vulnerabilities, minimal dependencies, and broad Python version support. It solves a straightforward problem—simple tree data structures—without bloat. Install it if you need basic tree operations and console visualization; skip it if you need advanced graph algorithms or specialized tree types (e.g., balanced trees, tries).
Install
treelib on PyPI
Before you install
Low friction install with a single lightweight dependency (six). Actively maintained with recent releases; last commit on 2026-08-13 and over 870 repository stars indicate ongoing support.
Requires Python 3.7 or later.
License in practice
Licensed under Apache-2.0 (permissive), which allows commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install treelib
from treelib import Tree
tree = Tree()
tree.create_node('Root', 'root')
tree.create_node('Child', 'child', parent='root')
print(tree)Verify before relying
- Whether the tree implementation supports all standard tree operations (insertion, deletion, search, traversal methods) beyond basic node creation.
- Performance characteristics for large trees or deeply nested hierarchies.
- Whether visualization/rendering output formats are customizable beyond console display.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0,>=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagesix |
| Maintenance | Actively maintained 411 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,793,127 / month, #3,552 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python Modules |
Evidence: treelib-1.8.0-py3-none-any.whl
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See also anytree · nutree · bigtree · treetable · asciitree · dm-tree · django-tree-queries · optree · logging-tree · apted