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# Uni-Lab-OS **English** | [中文](README_zh.md) [![GitHub Stars](https://img.shields.io/github/stars/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/stargazers) [![GitHub Forks](https://img.shields.io/github/forks/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/network/members) [![GitHub Issues](https://img.shields.io/github/issues/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/issues) [![GitHub License](https://img.shields.io/github/license/dptech-corp/Uni-Lab-OS.svg)](https://github.com/deepmodeling/Uni-Lab-OS/blob/main/LICENSE) Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows. ## Key Features - Multi-device integration management - Automated experimental workflows - Cloud connectivity capabilities - Flexible configuration system - Support for multiple experimental protocols ## Documentation Detailed documentation can be found at: - [Online Documentation](https://deepmodeling.github.io/Uni-Lab-OS/) ## Quick Start Uni-Lab-OS recommends using `mamba` for environment management. Choose the appropriate environment file for your operating system: ```bash # Create new environment mamba create -n unilab python=3.11.11 mamba activate unilab mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge ``` ## Install Dev Uni-Lab-OS ```bash # Clone the repository git clone https://github.com/deepmodeling/Uni-Lab-OS.git cd Uni-Lab-OS # Install Uni-Lab-OS pip install . ``` 3. Start Uni-Lab System: Please refer to [Documentation - Boot Examples](https://deepmodeling.github.io/Uni-Lab-OS/boot_examples/index.html) ## Message Format Uni-Lab-OS uses pre-built `unilabos_msgs` for system communication. You can find the built versions on the [GitHub Releases](https://github.com/deepmodeling/Uni-Lab-OS/releases) page. ## Citation If you use Uni-Lab-OS in academic research, please cite: ```bibtex @article{gao2025unilabos, title = {UniLabOS: An AI-Native Operating System for Autonomous Laboratories}, doi = {10.48550/arXiv.2512.21766}, publisher = {arXiv}, author = {Gao, Jing and Chang, Junhan and Que, Haohui and Xiong, Yanfei and Zhang, Shixiang and Qi, Xianwei and Liu, Zhen and Wang, Jun-Jie and Ding, Qianjun and Li, Xinyu and Pan, Ziwei and Xie, Qiming and Yan, Zhuang and Yan, Junchi and Zhang, Linfeng}, year = {2025} } ``` ## License This project uses a dual licensing structure: - **Main Framework**: GPL-3.0 - see [LICENSE](LICENSE) - **Device Drivers** (`unilabos/devices/`): DP Technology Proprietary License See [NOTICE](NOTICE) for complete licensing details. ## Project Statistics ### Stars Trend Star History Chart ## Contact Us - GitHub Issues: [https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)