Mapf Python Packages

pogema

[ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF / MAPF settings.

w9-pathfinding

Implementation of some pathfinding and multi-agent pathfinding algorithms

pymapf

A Python library for multi-agent planning and pathfinding: CBS, PIBT, LaCAM, LNS, space-time A*, plus decentralized NMPC, velocity obstacles and swarm behaviors

cbs-mapf

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

cuplan

CUDA-accelerated multi-agent path finding and planning: batched BFS, space-time search, prioritized planning, PIBT, velocity obstacles, flocking — with a NumPy reference backend

rt-lacam

Real-Time LaCAM: incremental MAPF solver with completeness guarantees. Zig core and Python bindings.

planviz

Frontier-styled matplotlib figures for planning and search: grid maps, search animations, plan timelines, and benchmark charts