一个Python框架,用于处理和可视化实时数据

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Michał Rokita, Mateusz Modrzejewski, Przemysław Rokita
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引用次数: 0

摘要

在本文中,我们提出了PyBrook——一个原创的物联网实时云计算框架。PyBrook允许用户使用Python编程语言声明式地定义复杂的数据处理模型。该框架还提供了一个通用的web界面,可以实时呈现收集到的数据。PyBrook旨在通过利用Python编程语言的强大机制和现代概念(如热重新加载或在Linux容器中部署软件),使实时数据处理服务的开发尽可能简单。为了确保可重复性,PyBrook既作为PyPi上可用的Python包发布,也作为Docker Hub上可用的Docker容器镜像发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PyBrook—A Python framework for processing and visualising real-time data
In this paper, we present PyBrook - an original real-time cloud computing framework for the Internet of Things. PyBrook enables users to define complex data processing models declaratively, using the Python programming language. The framework also provides a generic web interface that presents the collected data in real time. PyBrook aims to make the development of real-time data processing services as easy as possible by utilising powerful mechanisms of the Python programming language and modern concepts like hot-reloading or deploying software in Linux Containers. To ensure reproducibility, PyBrook has been published both as a Python package available on PyPi and a Docker container image available on Docker Hub.
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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