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

scikit-learn: machine learning in Python

Data validation using Python type hints

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.

Python Classes Without Boilerplate

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

Coverage plugin for pytest.

Core validation logic for pydantic written in rust

Time series forecasting with machine learning models

Template for python project with continuous integration in Azure

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

Data validation using Python type hints