The Python micro framework for building web applications.

🎨 Diagram as Code for prototyping cloud system architectures

A community-maintained Python framework for creating mathematical animations.

Python packaging and dependency management made easy

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Python Development Workflow for Humans.

Rembg is a tool to remove images background

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

A unified framework for machine learning with time series

A library to generate LaTeX expression from Python code.

A lightweight, object-oriented finite state machine implementation in Python with many extensions

Computing with Python functions.

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Simple Python interface for Graphviz

Genetic Programming in Python, with a scikit-learn inspired API

ARCH models in Python

Visualize large time series data with plotly.py

Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Python.

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

👋 Xplique is a Neural Networks Explainability Toolbox

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

Convert graphs generated by Graphviz to LaTeX friendly formats

A task-planning system based on Pyhop, but generalized to plan for both goals and tasks.

A fork of Dana S. Nau's A Hierarchical Ordered Planner for Python, Pyhop

A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.

A Python package for declarative Process Mining with Machine Learning applications

SimPN (Simulation with Petri Nets) is a package for discrete event simulation in Python.

Automatic process simulation using Simpy and Pm4py.