Is this skill compatible with Raspberry Pi?

Yes, PyLabRobot is a pure Python SDK that runs on Windows, macOS, Linux, and Raspberry Pi, making it highly flexible for lab environments.

Can I test laboratory protocols without physical hardware?

Yes, PyLabRobot includes a ChatterboxBackend and a browser-based 3D visualizer to simulate and validate protocols safely before running them on actual equipment.

How does it handle resource tracking on the deck?

The skill automatically tracks tip presence, liquid volumes, and resource states on the deck using a hierarchical resource system to ensure protocol accuracy and reproducibility.

Which liquid handlers does this skill support?

PyLabRobot supports major platforms including Hamilton STAR/STARlet, Opentrons OT-2, and Tecan EVO through specialized hardware backends.

PyLabRobot Laboratory Automation

Name: PyLabRobot Laboratory Automation
Author: jimmc414

byjimmc414

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324

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Data Science & ML

Automates laboratory equipment and workflows using a hardware-agnostic Python interface for liquid handlers, plate readers, and more.

PyLabRobot is a comprehensive Python SDK that allows developers and scientists to control laboratory hardware including Hamilton, Opentrons, and Tecan robots through a unified, hardware-independent API. It facilitates the creation of reproducible laboratory protocols, manages deck layouts and resources like plates and tips, and supports full-scale simulation before physical execution. By abstracting hardware-specific commands, it enables researchers to write protocols once and run them across different platforms, making it an essential tool for autonomous discovery and automated sample preparation.

Key Features

01Comprehensive resource management for plates, tips, tubes, and deck layouts

02Integration with analytical equipment including plate readers, scales, and pumps

03324 GitHub stars

04Automatic tracking of liquid volumes and pipette tip states for state management

05Built-in simulation and 3D visualization for protocol validation without hardware

06Unified control for Hamilton STAR, Opentrons OT-2, and Tecan EVO liquid handlers

Use Cases

01Designing and simulating complex liquid handling protocols before physical implementation

02Automating serial dilutions and plate replication across different robot platforms

03Integrating plate readers with liquid handlers for closed-loop autonomous experiments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jimmc414/kosmos pylabrobot

For use in Claude.ai and ChatGPT