The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

A python library for user-friendly forecasting and anomaly detection on time series.

scikit-learn: machine learning in Python

Python Classes Without Boilerplate

Rust bindings for the Python interpreter

Core validation logic for pydantic written in rust

Data validation using Python type hints

Coverage plugin for pytest.

ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations

PyO3-based Rust bindings of the NumPy C-API

Pandas support for pint

Data validation using Python type hints

Python implementation of the "Recursive Seriation" algorithm for reordering strict circular Robisonian matrices

Template for python project with continuous integration in Azure

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Time series forecasting with machine learning models

Production-Grade Container Scheduling and Management

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO