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PyMoDAQ:一个基于 Python 的开源模块化数据采集软件。

PyMoDAQ: An open-source Python-based software for modular data acquisition.

机构信息

CEMES-CNRS, Université de Toulouse, 29 rue Jeanne Marvig, 31055 Toulouse, France.

出版信息

Rev Sci Instrum. 2021 Apr 1;92(4):045104. doi: 10.1063/5.0032116.

Abstract

Thanks to the recent multiplication of scientific Python packages in the open-source software landscape, Data Acquisition frameworks (DAQ-Fs) appear as versatile replacements of custom-made or costly commercial solutions. PyMoDAQ is a DAQ-F focusing on easy-to-use graphical user interfaces allowing a simple control and automation of a large variety of experimental setups. Its development included a highly modular structure allowing any experimental data acquisition as a function of multiple varying parameters. It offers numerous additional functionalities: instrument and setup configuration, plotting, saving, logging, etc. Live visual feedback is available at all times to monitor the ongoing experiment. Flexibility of its user interfaces is the key advantage of PyMoDAQ allowing also its integration as the core of more focused applications. Its hierarchical binary format data saving mechanism includes experimental metadata highly compatible with FAIR (Findable, Accessible,Interoperable, Reusable) data. Among the presented characteristics, seven criteria have been chosen to judge the pertinence of PyMoDAQ as a versatile DAQ-F. They are also the basis for a comparison with other existing frameworks highlighting the novelty of PyMoDAQ.

摘要

感谢近年来开源软件领域中科学 Python 包的大量涌现,数据采集框架(DAQ-Fs)作为定制或昂贵的商业解决方案的多功能替代品出现。PyMoDAQ 是一个专注于易于使用的图形用户界面的 DAQ-F,允许对各种实验设置进行简单的控制和自动化。其开发包括高度模块化的结构,允许任何实验数据采集作为多个变化参数的函数。它提供了许多附加功能:仪器和设置配置、绘图、保存、记录等。实时可视化反馈可随时用于监控正在进行的实验。其用户界面的灵活性是 PyMoDAQ 的主要优势,也允许它作为更专注应用程序的核心进行集成。其分层二进制格式的数据保存机制包括与 FAIR(可发现、可访问、可互操作、可重复使用)数据高度兼容的实验元数据。在介绍的特性中,选择了七个标准来判断 PyMoDAQ 作为通用 DAQ-F 的相关性。它们也是与其他现有框架进行比较的基础,突出了 PyMoDAQ 的新颖性。

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