An opinionated list of awesome Python frameworks, libraries, software and resources.

scikit-learn: machine learning in Python

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

Jupyter metapackage for installation, docs and chat

Freeze (package) Python programs into stand-alone executables

Minimal and clean examples of machine learning algorithms implementations

Statsmodels: statistical modeling and econometrics in Python

A collection of machine learning examples and tutorials.

A Python implementation of global optimization with gaussian processes.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Distributed Evolutionary Algorithms in Python

Uplift modeling and causal inference with machine learning algorithms

Tutorial material on the scientific Python ecosystem

A simple Flask boilerplate app with SQLAlchemy, Redis, User Authentication, and more.

Pandas integration with sklearn

Sequential model-based optimization with a `scipy.optimize` interface

[UNMAINTAINED] Automated machine learning for analytics & production

Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap

Lifetime value in Python

advertools - online marketing productivity and analysis tools

A framework for modeling and simulating dynamical systems

A Free and Open Source Python Library for Multiobjective Optimization

Parse LaTeX math expressions

CausalLift: Python package for causality-based Uplift Modeling in real-world business

UpliftML: A Python Package for Scalable Uplift Modeling

salabim - discrete event simulation

Agent-based computational Economics, the Python library that makes AB modelling easier