Opentrons/opentrons

Software for writing protocols and running them on the Opentrons Flex and Opentrons OT-2

What it solves

It removes the manual labor of pipetting in biology labs by providing a robotic platform that automates experiments, allowing scientists to focus on analysis rather than repetitive manual tasks.

How it works

The platform consists of three main components: an API that allows users to write protocols in Python-like code that mimics a lab notebook, an App for uploading and running experiments, and a graphical Protocol Designer for creating protocols without needing to write code.

Who it’s for

Bench scientists and biologists who have basic computer skills and want to automate their wetlab protocols to improve reproducibility and efficiency.

Highlights

  • Robotic automation of biology lab experiments.
  • Python-based API for intuitive protocol writing.
  • Graphical tool for designing protocols visually.
  • Dedicated application for calibrating positions and running experiments.

Related

  • Project
    aiming-lab/AutoResearchClaw

    An autonomous, collaborative research pipeline that turns a research idea into a conference-ready academic paper with real citations and sandbox experiments.

  • Project
    openml/openml-python

    A Python API for OpenML that allows users to download and upload datasets, machine learning experiment results, and curated benchmarking tasks.

  • Project
    wentorai/Research-Claw

    A local AI agent system that automates academic research workflows, including literature management, paper drafting, and autonomous experimental reproduction.

  • Project
    CodebuffAI/freebuff

    A suite of free, ad-supported AI coding and research tools providing access to multiple LLMs and specialized agents via CLI, desktop, and cloud.

  • Project
    galilai-group/stable-worldmodel

    A platform for reproducible world model research and evaluation that provides a unified interface for data collection, training, and model-predictive control evaluation.