Nutree is a Python library for tree data structures with an intuitive, yet powerful, API.

Nutree Facts

Handle multiple references of single objects ('clones')
Search by name pattern, id, or object reference
Compare two trees and calculate patches
Unobtrusive handling of arbitrary objects
Save as DOT file and graphwiz diagram
Nodes can be plain strings or objects
(De)Serialize to (compressed) JSON
Save as Mermaid flow diagram
Different traversal methods
Generate random trees
Convert to RDF graph
Fully type annotated
Typed child nodes
Pretty print
Navigation
Filtering

Example

A simple tree, with text nodes

from nutree import Tree, Node

tree = Tree("Store")

n = tree.add("Records")

n.add("Let It Be")
n.add("Get Yer Ya-Ya's Out!")

n = tree.add("Books")
n.add("The Little Prince")

tree.print()

Tree<'Store'>
├─── 'Records'
│    ├─── 'Let It Be'
│    ╰─── "Get Yer Ya-Ya's Out!"
╰─── 'Books'
     ╰─── 'The Little Prince'

Tree nodes wrap the data and also expose methods for navigation, searching, iteration, ...

records_node = tree["Records"]
assert isinstance(records_node, Node)
assert records_node.name == "Records"

print(records_node.first_child())

Node<'Let It Be', data_id=510268653885439170>

Nodes may be strings or arbitrary objects:

alice = Person("Alice", age=23, guid="{123-456}")
tree.add(alice)

# Lookup nodes by object, data_id, name pattern, ...
assert isinstance(tree[alice].data, Person)

del tree[alice]

Read the Docs for more.