pylabrobot

Lab automation protocols are orchestrated using a backend-agnostic API that coordinates liquid handlers, plate readers, shakers, and incubators from a single interface. This enables reproducible multi-device experiments across biology, chemistry, and clinical research contexts.

Simulation modes allow you to prototype lab automation workflows before hardware runs. Backend-agnostic execution supports configuring a simulation backend to validate deck modeling, resource state tracking, and protocol coordination safely.

Deck management and resource state tracking model physical deck layouts and monitor resource states during execution. This approach ensures reproducible, auditable experiments and provides visualization for validating automated laboratory workflows.

Python lab automation supports STAR and OT-2 backends for sample preparation. A unified API configures these backends alongside a deck to execute multi-device protocols for end-to-end automation of sample prep and plate-based assays.

Reproducible experiments in clinical research automation are ensured by using backend-agnostic interfaces with state tracking and deck modeling. This guarantees safe, auditable executions across diverse hardware like centrifuges and incubators.