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105 lines
3.3 KiB
Markdown
105 lines
3.3 KiB
Markdown
<div align="center">
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<img src="docs/logo.png" alt="Uni-Lab Logo" width="200"/>
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</div>
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# Uni-Lab-OS
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<!-- Language switcher -->
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**English** | [中文](README_zh.md)
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[](https://github.com/deepmodeling/Uni-Lab-OS/stargazers)
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[](https://github.com/deepmodeling/Uni-Lab-OS/network/members)
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[](https://github.com/deepmodeling/Uni-Lab-OS/issues)
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[](https://github.com/deepmodeling/Uni-Lab-OS/blob/main/LICENSE)
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Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows.
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## Key Features
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- Multi-device integration management
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- Automated experimental workflows
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- Cloud connectivity capabilities
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- Flexible configuration system
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- Support for multiple experimental protocols
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## Documentation
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Detailed documentation can be found at:
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- [Online Documentation](https://deepmodeling.github.io/Uni-Lab-OS/)
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## Quick Start
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1. Setup Conda Environment
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Uni-Lab-OS recommends using `mamba` for environment management:
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```bash
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# Create new environment
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mamba create -n unilab python=3.11.11
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mamba activate unilab
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mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
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```
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2. Install Dev Uni-Lab-OS
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```bash
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# Clone the repository
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git clone https://github.com/deepmodeling/Uni-Lab-OS.git
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cd Uni-Lab-OS
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# Install Uni-Lab-OS
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pip install .
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```
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3. Start Uni-Lab System
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Please refer to [Documentation - Boot Examples](https://deepmodeling.github.io/Uni-Lab-OS/boot_examples/index.html)
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4. Best Practice
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See [Best Practice Guide](https://deepmodeling.github.io/Uni-Lab-OS/user_guide/best_practice.html)
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## Message Format
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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.
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## Citation
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If you use [Uni-Lab-OS](https://arxiv.org/abs/2512.21766) in academic research, please cite:
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```bibtex
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@article{gao2025unilabos,
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title = {UniLabOS: An AI-Native Operating System for Autonomous Laboratories},
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doi = {10.48550/arXiv.2512.21766},
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publisher = {arXiv},
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author = {Gao, Jing and Chang, Junhan and Que, Haohui and Xiong, Yanfei and
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Zhang, Shixiang and Qi, Xianwei and Liu, Zhen and Wang, Jun-Jie and
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Ding, Qianjun and Li, Xinyu and Pan, Ziwei and Xie, Qiming and
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Yan, Zhuang and Yan, Junchi and Zhang, Linfeng},
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year = {2025}
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}
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```
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## License
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This project uses a dual licensing structure:
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- **Main Framework**: GPL-3.0 - see [LICENSE](LICENSE)
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- **Device Drivers** (`unilabos/devices/`): DP Technology Proprietary License
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See [NOTICE](NOTICE) for complete licensing details.
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## Project Statistics
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### Stars Trend
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<a href="https://star-history.com/#dptech-corp/Uni-Lab-OS&Date">
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<img src="https://api.star-history.com/svg?repos=dptech-corp/Uni-Lab-OS&type=Date" alt="Star History Chart" width="600">
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</a>
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## Contact Us
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- GitHub Issues: [https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)
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