Functional Programming

Optimized PyTree Utilities.

Function and command-line program to strip Python type hints.

Never use print() to debug again: inspect variables, expressions, and program execution with a single, simple function call.

A library to create a command-line program from a function

EasyGUI is a module for very simple, very easy GUI programming in Python. EasyGUI is different from other GUI generators in that EasyGUI is NOT event-driven. Instead, all GUI interactions are invoked by simple function calls.

Make your functions return something meaningful, typed, and safe!

Package for creating data pipelines with chain functional programming

Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies.

**Deal** is a Python library for [design by contract][wiki] (DbC) programming.

Fast tools for functional programming

Functional programming in Python with generators and other utilities.

Smart, pythonic, ad-hoc, typed polymorphism for Python

Functional Programming Streams ,Similar like Java, for writing concise functions

Functional programming in Python.

Type-safe functional tools for Python

Visualize, create, and operate on pytrees in the most intuitive way possible.

Iterator-tools for functional programming.

Functional programming in Python

Simple, elegant, Pythonic functional programming.

A library that gathers core functions for python programming.

Tools for functional programming in python

A set of helper functions to make working with spatial data in open source tools easier. This package is maintained by Earth Lab and was originally designed to support the earth analytics education program.

Tools for class only design.

Flitter is a functional programming language and declarative system for describing 2D and 3D visuals

A tiny library to safely render compact HTML5 from Python expressions.

An efficient library for differentiable optimization for PyTorch.

iterator chaining, underscored by a two-headed queue

Universal LLM SDK + MCP Client: Claude Opus 4.5, Gemini 3 Pro, GPT-5.1, Grok 4.1 (#1 LMArena) + 7 providers. Natural language tool calling. Zero vendor lock-in. Production SDK + beautiful CLI.

A functional reactive platform used to process time-series streams. Provides support for backtest (simulation) and realtime time-series processing. Using a forward propagation graph with a microtask scheduler for the runtime engine.

Simple, elegant, Pythonic functional programming.

Bear's functional programming playground: currying, dispatching, type magic, and chaos - all with bearly any dependencies

A Lisp to Python transpiler with persistent data structures

Python collections in a functional-programming style

Interactive GUI based program that generates the overall species balance, system of ODEs needed for the solve_ivp and odeint method, and calculates the Jacobian both symbolically and numerically. The resulting code can easily be copied and pasted as is to be integrated with the aforementioned SciPy functions.

Provides functionality to benchmark a program and measure time and energy during execution.

Never use print() to debug again; inspect variables, expressions, and program execution with a single, simple function call.

A collection of functional programming tools for the shell.

Simple and powerful Railway Oriented library for python

Clean, flexible input validation for Python applications

All the good stuff from Functional Programming

Utility functions for Python programming

A purely functional agent framework with immutable state and composable tools - Python implementation

relational alegrbra for functional programs

High-performance functional utilities implemented as a Python C/C++ extension

A versatile Python library offering a collection of reusable utility functions designed to streamline common programming tasks and promote code reusability across various projects.

The functional programming library you need

A Python library which includes lots of helpful classes, types, and functions aiming to make common programming tasks simpler.

Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies.

Supercharge your Python with parts of Lisp and Haskell.

A functional programming paradigm for mathematical modelling and data science