Multi Armed Bandit Python Packages

baytune

A simple, extensible library for developing AutoML systems

pybandits

Python library for Multi-Armed Bandits

polis-protocol

Markdown protocol for multi-vendor AI agent teams — capability cards, bandit routing, and lessons that compound.

mabalgs

:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:

kvfleet

Production-grade, KV-cache-aware intelligent routing for self-hosted and hybrid LLM fleets.

mab-algorithm

Code template for multi-armed bandit algorithm

smpybandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

ab

A/B Testing Framework for Python with optional Multi-armed bandit implementation

slots

A multi-armed bandit library for Python

improveai

Improve AI: Build self-improving apps that optimize their own variables and data structures.

thompson

Thompson is Python package to evaluate the multi-armed bandit problem. In addition to thompson, Upper Confidence Bound (UCB) algorithm, and randomized results are also implemented.

contextual-bandits-algos

A comprehensive Python library implementing a variety of contextual and non-contextual multi-armed bandit algorithms—including LinUCB, Epsilon-Greedy, Upper Confidence Bound (UCB), Thompson Sampling, KernelUCB, NeuralLinearBandit, and DecisionTreeBandit—designed for reinforcement learning applications