Search Results for "java xml read write"
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Showing 349 open source projects for "java xml read write"
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XLSX.jl
Excel file reader and writer for the Julia language
XLSX.jl is a Julia package to read and write Excel spreadsheet files. Internally, an Excel XLSX file is just a Zip file with a set of XML files inside. The formats for these XML files are described in the Standard ECMA-376. This package follows the EMCA-376 to parse and generate XLSX files. -
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Java JWT JSON
Java JWT: JSON Web Token for Java and Android
JJWT aims to be the easiest-to-use and understand library for creating and verifying JSON Web Tokens (JWTs) and JSON Web Keys (JWKs) on the JVM and Android. JJWT is a pure Java implementation based exclusively on the JOSE Working Group RFC specifications. -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. -
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YamlDotNet
YamlDotNet is a .NET library for YAML
YamlDotNet provides low-level parsing and emitting of YAML as well as a high-level object model similar to XmlDocument. A serialization library is also included that allows to read and write objects from and to YAML streams. YAML, which stands for "YAML Ain't Markup Language", is described as "a human-friendly data serialization standard for all programming languages". Like XML, it allows to represent of any kind of data in a portable, platform-independent format. Unlike XML, it is "human friendly", which means that it is easy for a human to read or produce a valid YAML document. ... -
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GraphQL Java Tools
A schema-first tool for graphql-java inspired by graphql-tools for JS
This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any... -
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Apache Avro
Apache Avro is a data serialization system
Apache Avro™ is a data serialization system. Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation is an optional optimization, is only worth implementing for statically typed languages. Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. This permits each datum to be written with no per-value overheads, making serialization both fast and... -
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Karate
Test automation made simple
...Assertions and HTML reports are built-in, and you can run tests in parallel for speed. There’s also a cross-platform stand-alone executable for teams not comfortable with Java. You don’t have to compile code. Just write tests in a simple, readable syntax, carefully designed for HTTP, JSON, GraphQL and XML. And you can mix API and UI test-automation within the same test script. A Java API also exists for those who prefer to programmatically integrate Karate’s rich automation and data-assertion capabilities. ... -
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jgraphml
A Java library to write and read graphml diagrams
A Java library to write and read graphml diagrams. This library is compatible with the popular yEd tool. -
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Protocol Buffers
Google's data interchange format
Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with more to come. -
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Truth
Fluent assertions for Java and Android
Truth is a library for performing assertions in tests. Truth makes your test assertions and failure messages more readable. Similar to AssertJ, it natively supports many JDK and Guava types, and it is extensible to others. Truth is owned and maintained by the Guava team. It is used in the majority of the tests in Google’s own codebase. -
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jclasslib bytecode editor
Visualizes all aspects of compiled Java class files
jclasslib bytecode editor is a tool that visualizes all aspects of compiled Java class files and the contained bytecode. Many aspects of class files can be edited in the UI. In addition, it contains a library that enables developers to read and write Java class files and bytecode. All constant pool entries can be edited. Referenced constant pool entries can directly be edited from the context menu that is shown by the "Edit" button of attributes and constant pool entries. ... -
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PHPWord
PHP library for reading and writing word processing documents
PHPWord is a library written in pure PHP that provides a set of classes to write to and read from different document file formats. The current version of PHPWord supports Microsoft Office Open XML (OOXML or OpenXML), OASIS Open Document Format for Office Applications (OpenDocument or ODF), and Rich Text Format (RTF). PHPWord is an open source project licensed under the terms of LGPL version 3. PHPWord is aimed to be a high quality software product by incorporating continuous integration and unit testing. ... -
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Go support for Protocol Buffers
The Go support for Google's protocol buffers
Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data, think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol buffers currently support generated code in Java, Python, Objective-C, and C++. ... -
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csv-beans
Marshalling and unmarshalling data from CSV files
Rеad and write CSV files. Bind java classes via annotations or XML file. -
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EasyExcel
Lightweight Java library developed by Alibaba for reading and writing
EasyExcel is a Java library focused on reading and writing Excel files with very low memory usage, making it suitable for large datasets that overwhelm traditional APIs. It uses streaming/event-driven parsing to avoid loading entire workbooks into memory, and it maps rows to Java objects via simple annotations. Writers support multiple sheets, custom styles, merged cells, and template-based filling so production reports remain maintainable. The API emphasizes developer ergonomics: callbacks... -
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The Ballerina programming language
The Ballerina Programming Language
Ballerina is an open-source programming language for the cloud that makes it easier to use, combine, and create network services. Network primitives in the language make it simpler to write services and run them in the cloud. Structural types with support for openness are used both for static typing within a program and for describing service interfaces. Type-safe, declarative processing of JSON, XML, and tabular data with language-integrated queries. Explicit error handling, static types,... -
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MyBatis Mapper4
Mybatis common mapper, easy to use
This book starts with a simple MyBatis query to build a basic development environment for learning MyBatis. Through a comprehensive sample code and test, the basic usage of adding, deleting, modifying, and checking operations in the MyBatis XML mode and annotation mode is explained, and the application of dynamic SQL in different aspects and the best practice program in the use process are introduced. Provides a wealth of examples for MyBatis advanced mapping, stored procedures, and type... -
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gomodifytags
Go tool to modify struct field tags
Go tool to modify/update field tags in structs. gomodifytags makes it easy to update, add or delete the tags in a struct field. You can easily add new tags, update existing tags (such as appending a new key, i.e: db, xml, etc..) or remove existing tags. It also allows you to add and remove tag options. It's intended to be used by an editor, but also has modes to run it from the terminal. Read the usage section below for more information. This accepts the struct name. i.e: -struct Server. The name should be a valid type name. The -struct flag selects the whole struct, and thus it will operate on all fields. ... -
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MPXJ
Multi platform library to read and write schedule data
MPXJ is an open source file handling library for Java, .Net and Ruby to read and write Microsoft Project MPX and MSPDI XML files, Planner files, Primavera XER files and databases, Asta Powerproject files and databases, Asta Easyplan files, Phoenix Project Manager files, FastTrack FTS files, GanttProject GAN files, TurboProject PEP files, ConceptDraw PROJECT CDPX, CPDZ and CPDTZ files, Synchro Scheduler SP files and MPP, MPT, and MPD files for Project 98, 2000, 2002, 2003, 2007, 2010, 2013, 2016 and 2019. -
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JCTools
Java Concurrency Tools for the JVM
Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK. There’s more to come and contributions/suggestions are most welcome. JCTools has enjoyed support from the community and contributions in the form of issues/tests/documentation/code have helped it grow. JCTools offers excellent performance at a reasonable price (FREE! under the Apache 2.0 License). It’s stable and in use by such distinguished frameworks as Netty,... -
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Ruby
Ruby programming language
A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming. He has often said that he is “trying to make Ruby natural, not simple,” in a way that... -
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Android Contacts, Reborn
Android Contacts API Library written in Kotlin
This library provides a complete set of APIs to do everything you need with Contacts in Android. You no longer have to deal with the Contacts Provider, database operations, and cursors. Whether you just need to get all or some Contacts for a small part of your app (written in Kotlin or Java), or you are looking to create your own full-fledged Contacts app with the same capabilities as the AOSP Android Contacts app and Google Contacts app, this library is for you. -
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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based repositories. This module deals with enhanced support for JPA-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code has to be written to execute simple queries as well as perform pagination, and auditing. Spring Data... -
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JRecord
Read Cobol data files in Java
provide Java Record based IO routines for Fixed Width (including Text, Mainframe, Cobol and Binary) and delimited Flat files via a Record Layout (Cobol, CSV or XML). The source is now available at https://github.com/bmTas/JRecord Projects using JRecord include: * https://github.com/thospfuller/rcoboldi - Cobol File in R * https://github.com/tmalaska/CopybookInputFormat - Cobol files in Hadoop * https://github.com/gss2002/copybook_formatter * https://github.com/gss2002/ftp2hdfs... -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there...
