{"title":"推进网络开发：休息和 graphql 后端服务现代框架的比较分析","authors":"Oleh Zanevych","doi":"10.36074/grail-of-science.15.03.2024.031","DOIUrl":null,"url":null,"abstract":"This article conducts a detailed comparison of leading REST and GraphQL web development frameworks, including Node.js with Express, Spring Boot, Django, Flask, Ruby on Rails, Apollo Server, GraphQL-Ruby, and Graphene. It assesses each framework's performance, scalability, usability, and community support to highlight their strengths and application suitability. The discussion extends to the challenges of framework selection, such as learning curves and security, and anticipates future technological influences like cloud computing and AI. The analysis aims to guide developers and organizations in choosing frameworks that best meet their project needs and strategic objectives, providing a concise yet comprehensive resource in the evolving field of web development.","PeriodicalId":475097,"journal":{"name":"Grail of science","volume":" 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ADVANCING WEB DEVELOPMENT: A COMPARATIVE ANALYSIS OF MODERN FRAMEWORKS FOR REST AND GRAPHQL BACK-END SERVICES\",\"authors\":\"Oleh Zanevych\",\"doi\":\"10.36074/grail-of-science.15.03.2024.031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article conducts a detailed comparison of leading REST and GraphQL web development frameworks, including Node.js with Express, Spring Boot, Django, Flask, Ruby on Rails, Apollo Server, GraphQL-Ruby, and Graphene. It assesses each framework's performance, scalability, usability, and community support to highlight their strengths and application suitability. The discussion extends to the challenges of framework selection, such as learning curves and security, and anticipates future technological influences like cloud computing and AI. The analysis aims to guide developers and organizations in choosing frameworks that best meet their project needs and strategic objectives, providing a concise yet comprehensive resource in the evolving field of web development.\",\"PeriodicalId\":475097,\"journal\":{\"name\":\"Grail of science\",\"volume\":\" 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Grail of science\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.36074/grail-of-science.15.03.2024.031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Grail of science","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.36074/grail-of-science.15.03.2024.031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文详细比较了领先的 REST 和 GraphQL Web 开发框架，包括带有 Express 的 Node.js、Spring Boot、Django、Flask、Ruby on Rails、Apollo Server、GraphQL-Ruby 和 Graphene。它评估了每个框架的性能、可扩展性、可用性和社区支持，以突出它们的优势和应用适用性。讨论延伸到框架选择所面临的挑战，如学习曲线和安全性，并预测了未来的技术影响，如云计算和人工智能。分析旨在指导开发人员和组织选择最符合其项目需求和战略目标的框架，为不断发展的网络开发领域提供简明而全面的资源。
ADVANCING WEB DEVELOPMENT: A COMPARATIVE ANALYSIS OF MODERN FRAMEWORKS FOR REST AND GRAPHQL BACK-END SERVICES
This article conducts a detailed comparison of leading REST and GraphQL web development frameworks, including Node.js with Express, Spring Boot, Django, Flask, Ruby on Rails, Apollo Server, GraphQL-Ruby, and Graphene. It assesses each framework's performance, scalability, usability, and community support to highlight their strengths and application suitability. The discussion extends to the challenges of framework selection, such as learning curves and security, and anticipates future technological influences like cloud computing and AI. The analysis aims to guide developers and organizations in choosing frameworks that best meet their project needs and strategic objectives, providing a concise yet comprehensive resource in the evolving field of web development.
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