mirror of
https://github.com/dptech-corp/Uni-Lab-OS.git
synced 2025-12-14 13:14:39 +00:00
d4415f5a35f1dc107af2ab125b2d2568ed6094b0
* cancel upload_registry * Refactor Bioyond workstation and experiment workflow -fix (#111) * refactor(bioyond_studio): 优化材料缓存加载和参数验证逻辑 改进材料缓存加载逻辑以支持多种材料类型和详细材料处理 更新工作流参数验证中的字段名从key/value改为Key/DisplayValue 移除未使用的merge_workflow_with_parameters方法 添加get_station_info方法获取工作站基础信息 清理实验文件中的注释代码和更新导入路径 * fix: 修复资源移除时的父资源检查问题 在BaseROS2DeviceNode中,移除资源前添加对父资源是否为None的检查,避免空指针异常 同时更新Bottle和BottleCarrier类以支持**kwargs参数 修正测试文件中Liquid_feeding_beaker的大小写拼写错误 * correct return message --------- Co-authored-by: ZiWei <131428629+ZiWei09@users.noreply.github.com>
Uni-Lab-OS
English | 中文
Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows.
🏆 Competition
Join the Intelligent Organic Chemistry Synthesis Competition to explore automated synthesis with Uni-Lab-OS!
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:
Quick Start
Uni-Lab-OS recommends using mamba for environment management. Choose the appropriate environment file for your operating system:
# Create new environment
mamba create -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
Install Dev Uni-Lab-OS
# Clone the repository
git clone https://github.com/dptech-corp/Uni-Lab-OS.git
cd Uni-Lab-OS
# Install Uni-Lab-OS
pip install .
- Start Uni-Lab System:
Please refer to Documentation - Boot Examples
Message Format
Uni-Lab-OS uses pre-built unilabos_msgs for system communication. You can find the built versions on the GitHub Releases page.
License
This project is licensed under GPL-3.0 - see the LICENSE file for details.
Project Statistics
Stars Trend
Contact Us
- GitHub Issues: https://github.com/dptech-corp/Uni-Lab-OS/issues
Languages
Python
84.6%
Jupyter Notebook
11.8%
HTML
2.8%
Shell
0.3%
CSS
0.2%
Other
0.3%
