Compare · commercial-suite
WareMax vs. AnyLogic
AnyLogic is a general-purpose, multi-paradigm commercial simulation product; WareMax is a single-purpose open-source benchmark. They overlap on "can simulate a warehouse" and almost nothing else.
License: AnyLogic: commercial. WareMax: MIT.
Paradigms: AnyLogic: DES + agent-based + system dynamics. WareMax: DES only.
Scope: AnyLogic: general (logistics, manufacturing, health, supply chain, traffic). WareMax: RMFS dispatching only.
RL interface: AnyLogic: via Pypeline / cloud RL service. WareMax: Gymnasium env, native PyO3 bindings.
Fair-rows comparison
Each row is a question we have actually been asked about WareMax in the same breath as AnyLogic. Corrections welcome via the GitHub issue tracker.
| Dimension | WareMax | AnyLogic |
|---|---|---|
| Primary scope | Robotic Mobile Fulfillment Systems only (pod-to-person AMR dispatching). | General-purpose multi-paradigm simulator across many verticals. |
| License & cost model | MIT, source-available, no per-seat cost. | Commercial license; pricing not discussed here. |
| Simulation paradigm | Pure discrete-event, event-queue kernel. | Discrete-event, agent-based, and system-dynamics — mixable. |
| Determinism guarantee | Tested property: same seed + same action sequence ⇒ byte-identical trajectory. ChaCha8 RNG, canonical id-based tie-breaking, tests in waremax-rl/tests/determinism.rs. | Reproducibility supported via seeded RNG; canonicalization of all tie-breaking is the user's responsibility. |
| Core implementation | Rust, single-threaded per scenario, mimalloc allocator. | Java-based simulation engine with a graphical IDE. |
| Scenario format | YAML or JSON parsed by waremax-config; schema-validated. | Visual modeling in the IDE; exportable. |
| RL interface | Gymnasium env (WaremaxAllocEnv) via PyO3. Action mask + dict observation. SMDP framing. | RL via the AnyLogic Cloud RL service or external bridges; not native Gymnasium. |
| Heuristic baselines | nearest_robot, least_busy, round_robin, auction, workload-balanced shipped in-box. Selectable by policy name. | User-implemented; the platform does not ship dispatching policies out of the box. |
| Delay attribution | Per-task decomposition: assignment / travel / queue / congestion / service; sums to cycle time. Used as a reward signal. | Custom statistics collection per model; not a built-in canonical decomposition. |
| A/B testing & sweeps | CLI: waremax compare, waremax sweep, waremax ab-test (Welch's t), waremax benchmark (regression detection). | Parameter variation experiments built into the IDE. |
| GUI / visualization | None at runtime; report generation (HTML / PDF) via waremax-metrics. | Full graphical IDE, 2D and 3D animation, dashboards. |
| What is out of scope | AS/RS cranes, conveyors, AGV tuggers, human pickers walking aisles, CAD/DWG import. | Nothing structurally out of scope; the platform is general-purpose. |
| Best fit | RMFS dispatching studies, multi-seed reproducible RL experiments, fleet-sizing for pod-to-person warehouses. | Mixed-paradigm enterprise modeling; cross-vertical consulting; teams that prefer visual modeling. |
Verdict
Pick AnyLogic when you need a multi-paradigm general-purpose modeler and an interactive IDE. Pick WareMax when you specifically need an open, deterministic RMFS dispatching benchmark with a native Gymnasium environment.
Spot a mistake about AnyLogic on this page? Open an issue at github.com/Skelf-Research/waremax/issues.