cair/deep-warehouse
A Simulator for complex logistic environments
Deep Warehouse is a simulation tool for designing and testing logistics solutions within complex warehouse environments. It allows you to model warehouse layouts and see how autonomous agents (like robots or forklifts) can efficiently move items. Supply chain managers, warehouse operations teams, or logistics strategists can use this to optimize real-world material flow.
Use this if you need to visualize, test, and refine automated material handling strategies and agent behaviors in a simulated warehouse before implementing them physically.
Not ideal if you need a simple inventory tracking system or a tool to manage existing warehouse staff.
Stars
12
Forks
—
Language
Python
License
—
Category
Last pushed
Jan 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cair/deep-warehouse"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
caelan/pddlstream
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers
DillonZChen/wlplan
Relational Features for Planning
realkushagrakhare/3D_Path_Planning
AI project for 3D Path Planning. Other details and running instructions can be found on the...
enlite-ai/maze
Maze Applied Reinforcement Learning Framework
APLA-Toolbox/PythonPDDL
🧭🔍 A PDDL Planner in Python partially wrapping PDDL.jl using JuliaPy