{"id":13841247,"url":"https://github.com/dkhadoop/dk-fitting","last_synced_at":"2025-07-11T12:30:53.854Z","repository":{"id":34949023,"uuid":"192828751","full_name":"dkhadoop/dk-fitting","owner":"dkhadoop","description":"Fitting是一个面向大数据的统一的开发框架，由大快搜索主导并完全开源，克服了大数据技术开发涉及技术面广,各组件间缺乏统一规范等问题，能有效降低大数据的学习难度，并提高大数据项目的开发效率并可与开源项目混用。 Fitting遵循Apache2.0开源协议，采用类黑箱框架模式，将大数据生态圈内各组件底层API根据应用组合封装为Fitting API服务。用户编程时直接引用Fitting框架，即可使用功能丰富的Fitting API，完成过去复杂的编码工作。 Fitting框架由数据处理（dataprocess）、数据源（datasource）、ElasticSQL引擎（elasticsql）、图计算（graphx）、机器学习（ml）、自然语言处理（nlp）、搜索(search)、SQL工具类、（sqlutils）、流计算（stream）九大部分组成，可以单独部署，也可整体部署。 Fitting支持C、C++、C#、Cocoa、Common Lisp、Dlang、Dart、Delphi、Erlang、Go、Haskell、Haxe、Java (SE)、Java 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(504)","大数据"],"sub_categories":["微服务框架"],"readme":"# Fitting简介\n\u003cp\u003e\nFitting是一个面向大数据的统一的开发框架，由大快搜索主导并完全开源，克服了大数据技术开发涉及技术面广,各组件间缺乏统一规范等问题，能有效降低大数据的学习难度，并提高大数据项目的开发效率并可与开源项目混用。\u003c/br\u003e\n\u003c/p\u003e\n\u003cp\u003e\nFitting遵循Apache2.0开源协议，采用类黑箱框架模式，将大数据生态圈内各组件底层API根据应用组合封装为Fitting API服务。用户编程时直接引用Fitting框架，即可使用功能丰富的Fitting API，完成过去复杂的编码工作。  Fitting框架由数据处理（dataprocess）、数据源（datasource）、ElasticSQL引擎（elasticsql）、图计算（graphx）、机器学习（ml）、自然语言处理（nlp）、搜索(search)、SQL工具类、（sqlutils）、流计算（stream）九大部分组成，可以单独部署，也可整体部署。\u003c/br\u003e\n\u003c/p\u003e\n\u003cp\u003e\nFitting支持C、C++、C#、Cocoa、Common Lisp、Dlang、Dart、Delphi、Erlang、Go、Haskell、Haxe、Java (SE)、Java (ME)、Lua、node.js、OCaml、Perl、PHP、Python、Ruby、Rust、Smalltalk等二十多种编程语言。\u003c/br\u003e\n\u003c/p\u003e\n\n# Fitting安装文件地址\n\u003cp\u003e\n百度云地址：（）\n\u003c/p\u003e\u003c/br\u003e\n\n# Fitting文档地址\n\u003cp\u003e\nwiki地址：（https://github.com/dkhadoop/fitting/wiki）\n\u003c/p\u003e\u003c/br\u003e\n\n\n# 大快搜索（http://www.dksou.com）\n\n\u003cp\u003e\n人类从钻木取火，到发现希格斯玻色子；从简陋的牛郎星，到无所不在的移动计算；从达特默斯会议，到“大数据”时代的来临，这些改变人类生活方式的发现和创造，其灵魂皆为数学。\n\u003c/p\u003e\n\u003cp\u003e\n我们是一群信仰“算法能改变世界”的志同道合者组成的创业团队。我们相信数学是打开未来之门的钥匙。\n\u003c/p\u003e\n\u003cp\u003e\n大快搜索”是领先的大数据和人工智能基础软件供应商，提供商业发型版Hadoop集成生态环境（DKH）和大数据与人工智能一体化开发框架（Fitting）；以帮助大数据（软件）公司减少代码编写量，提升开发效率，降低成本为己任，将复杂的搜索、大数据、机器学习、流计算、图计算、自然语言处理、神经网络等，变成简单易用的接口和类库，底层技术从此触手可及！\n\u003c/p\u003e\n\u003cp\u003e\n大快，正引领着大数据与ai技术的发展，从自然语言处理到机器学习；从搜索引擎到大数据处理；从智能交通到金融风控；大快的基础软件，帮助众多大数据与人工智能项目，实现最高可达5倍的计算性能提升。\n\u003c/p\u003e\n\u003cp\u003e\n众多知名软件和大数据企业，均采用大快的基础软件，开发和部署大数据与人工智能应用。\n\u003c/p\u003e\n\u003cp\u003e\n大快，大数据技术的中国标准！\n\u003c/p\u003e\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkhadoop%2Fdk-fitting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdkhadoop%2Fdk-fitting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdkhadoop%2Fdk-fitting/lists"}