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
Unobtrusive handling of arbitrary objects
Compare two trees and calculate patches
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
Fully type annotated
Convert to RDF graph
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.