Python开源项目中最常用的模块是什么?

Luana Gribel Ito, Mariana Helena Inês Moreira, Sarah Brandão Souza, Sinara Pimenta Medeiros, Phyllipe Lima
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引用次数: 0

摘要

当一组开发人员创建新软件时,他们很可能会使用能够帮助给定所需特性的代码库。找到这些图书馆的一个来源可以是流行的问答网站、博客、个人网页,以及使用可以自动推荐图书馆的工具。受欢迎程度可能是开发人员在选择库时可以使用的一个标准。在这项工作中,我们通过挖掘GitHub上托管的python项目来进行实证评估,以确定最常用的模块。我们根据具体标准选出了129个项目,其中一个标准是反映其受欢迎程度的明星数量。为了自动化数据提取过程,我们开发了PySniffer,这是一个开源工具,可以在Python脚本中执行静态代码分析,检查项目中使用了标准库和外部模块中的哪些模块。我们的工具还有一个前端,可以更友好地显示统计信息的数据。因此,我们生成了一个列表,其中包含GitHub上托管的python项目中使用最多的模块,作为个人博客和网站上最受欢迎的库的补充信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What are the Top Used Modules in Python Open-Source Projects?
ABSTRACTWhen a team of developers are creating new software, they mostlikely will use libraries of code that can assist in a given requiredfeature. One source to find these libraries can be popular questionanswerwebsites, blogs, personal web pages and the usage of toolsthat can automatically suggest libraries. Popularity might be onecriterion that developers can use when choosing a library. In thiswork, we performed an empirical evaluation through mining Pythonprojects hosted in GitHub to identify the most popular used modules.We selected 129 projects based on specific criteria, one of thembeing the number of stars that reflects their popularity. To automatethe data extraction process, we developed the PySniffer, an opensourcetool that performs a static code analysis in Python scripts,checking which modules from both the standard library and externalmodules are used in a project. Our tool also has a front-end thatcan display the data more friendly with statistical information. Asa result, we generated a list with the top used modules in Pythonprojects hosted in GitHub, serving as complementary informationalongside the most popular libraries informed in personal blogs andwebsites.
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