Data Structures

Powerful data structures for data analysis, time series, and statistics

Python bindings to Rust's persistent data structures (rpds)

Load and dump data from json-like format into typed data structures

Persistent/Functional/Immutable data structures

A light-weight and flexible data validation and testing tool for statistical data objects.

Tree is a library for working with nested data structures.

Probabilistic data structures for processing and searching very large datasets

A powerful declarative symmetric parser/builder for binary data

Powerful and Lightweight Python Tree Data Structure with various plugins

Kaitai Struct declarative parser generator for binary data: runtime library for Python

A diff/patch pair for JSON-serialized data structures.

High performance graph data structures and algorithms

Editable interval tree data structure for Python 2 and 3

A pure Python trie data structure implementation.

Simple YAML configuration file parser with easy access for structured data

A library for converting a token stream into a data structure for use in web form posts

A Python implementation of tree structure.

Bloom filter: A Probabilistic data structure

A python library to read and write structured data in csv, zipped csvformat and to/from databases

The data structure for multimodal data

TableLogger is a handy Python utility for logging tabular data into a console or a file.

Python Data Structures for Humans

T-Digest data structure

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

Extension for the python package 'construct' that adds typing features

Python data structure and operations for intervals

Python data structure and operations for intervals

High performance graph data structures and algorithms (legacy package)

A simple python fuzzyset implementation.

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

CircularDict is a high-performance Python data structure that blends the functionality of dictionaries and circular buffers. Inheriting the usage of traditional dictionaries, it allows you to define constraints on size and memory usage. This way, the CircularDict will be always up-to-date with the last N added elements, ensuring that neither the maximum length nor the memory usage limit is exceeded. It is ideal for caching large data structures while maintaining control over memory footprint.

Autobex helps you find abandoned and interesting locations using OpenStreetMap data. Search by radius or polygon area to discover ruins, bunkers, and abandoned structures. Get elevation data, property ownership details, and direct links to Google Maps and Bing Maps. Designed for urban exploration and historical research, with automatic grouping of nearby locations.

Standalone Python library for generating ROS message and service data structures for various languages.

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

A data-structure parameterization system written for embedding context in JSON objects

A wrapper around the scale-codec crate for fast scale-decoding of Bittensor data structures.

A Django library for importing CSVs and other structured data quickly using Django's ModelForm for validation and deserialisation into an instance.

jxmlease converts between XML and intelligent Python data structures.

Hierarchical tree-like data structures for xarray

Continuous Range, RangeSet, and RangeDict data structures

eip712: Message classes for typed structured data hashing and signing in Ethereum

DataDiff is a library to provide human-readable diffs of python data structures.

Disjoint set data structure implementation for Python

The PySubnetTree package provides a Python data structure SubnetTree

A small pure-python package for data structure relatedutility functions.

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

Parse C++ header files and generate a data structure representing the class

Validator for the Brain Imaging Data Structure

pytablereader is a Python library to load structured table data from files/strings/URL with various data format: CSV / Excel / Google-Sheets / HTML / JSON / LDJSON / LTSV / Markdown / SQLite / TSV.

Tool/Framework for testing structured data against schema definitions