Tree Structure

Powerful and Lightweight Python Tree Data Structure with various plugins

Tree is a library for working with nested data structures.

Editable interval tree data structure for Python 2 and 3

A pure Python trie data structure implementation.

A Python implementation of tree structure.

A Python library for tree data structures with an intuitive, yet powerful, API.

The agile query language for semi-structured data. #JSON

Red/black tree with support for fast accumulation of values in a key range

Hierarchical tree-like data structures for xarray

A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization

Building data structures as node trees

Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual structure of the document.

Utility Package that Displays out the Tree Structure of a Particular Directory.

A Python library for the Binary Indexed Tree data structure.

Convert a directory structure and its contents into a single text file, including the tree output and file contents in structured XML format. It may be useful to chat with LLM about your code.

A polymorphic mptt structure to display content in a tree.

This is a python library to retrieve the file list with the folder tree from the specific folder of Google Drive.

A flexible, generalized tree-based data structure.

A small model checker for Computational Tree Logic

Nestorix: A proprietary Python toolkit for deeply nested data manipulation and analysis.

BK-tree data structure to allow fast querying of "close" matches

A collection of robust, efficient and small classic algorithms and data structures.

A PDF analysis toolkit. Scan a PDF with relevant YARA rules, visualize its inner tree-like data structure in living color (lots of colors), force decodes of suspicious font binaries, and more.

Layered Config Tree is a configuration structure which supports cascading layers.

Infering Emergent Dependency Structures In Survey Responses

Visualize POP hub/sub structures

growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance ICCS 2025 update.

A simple CLI utility for copying files and directory trees to clipboard for easy sharing with LLMs.

A library for computing topological data structures

Extract content and logical tree structure from textual documents

Logging framework that organizes messages in a tree structure

Describe structure directory for visualisation and pipeline

Data structures package for Problem Solving with Algorithms and Data Structures using Python

Welcome to coding in paradise!

A minimal type-safe trie (prefix tree) implementation in Python.

Sorted containers with state-of-the-art query performance and compressed memory usage

Data Structure Tree Builder for Python.

An algorithm visualization tool for jupyter notebook to show animation for vector, table, linked list, tree and graph data structures.

Learning and Inference in Bayesian Belief Networks

Analyzing microbiome abundance data to infer deep structures

managing git projects structured in tree in python

Pull and format statute / codification data (tree structures) from local path to raw yaml files.

Render tree structure diagram using border on Excel.

Tools for creating tree structures from flat list of dicts

Utitilies for constructing and manipulating models for non-local structural dependencies in genomic sequences

Treenode Framework for supporting tree (hierarchical) data structure in Django projects

The agile query language for semi-structured data. #JSON

A CLI utility to print the directory tree structure with customizable exclusions.

Abstract base classes for tree data structures

A pure-Python implementation of BK-trees