Alternatives to Apache Xalan

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

StyleVision simplifies the intricacies of XSLT programming by enabling users to create reports and forms through a visual interface. With a straightforward drag-and-drop method, you can design intricate layouts for displaying XML, XBRL, or database information across various channels. The process of crafting XSLT stylesheets for report generation in StyleVision is both versatile and user-friendly, enhanced by smart menus and assistance windows. Utilizing advanced stylesheet capabilities, users can establish conditional templates, perform automatic calculations, and apply rich formatting to inputs, among other features. This tool is particularly well-suited for the creation of multi-channel or multi-format business report publications. No matter if your goal is to publish XML, database, or XBRL content—or a blend of these formats—you can effortlessly craft complex reports utilizing the intuitive drag-and-drop functionality of StyleVision. Additionally, you have the option to automate your multi-channel report publishing tasks through the produced XSL stylesheets or by leveraging the efficient capabilities of StyleVision Server, enhancing productivity further. In this way, StyleVision not only streamlines the design process but also boosts efficiency in report generation and publication.

Apache XML Security for Java is a comprehensive library that encompasses the widely recognized JSR-105 (Java XML Digital Signature) API, featuring a robust DOM-based implementation for both XML Signature and XML Encryption, alongside a newer StAX-based (streaming) implementation for these same functions. This library provides the capability to designate a security provider when utilizing org.apache.xml.security.signature.XMLSignature. Furthermore, it now includes enhanced support for customizing the parsing of an InputStream into a DOM Document, ensuring more flexibility and control for developers. Overall, this library is valuable for anyone needing secure XML processing in their Java applications.

The Apache Axiom™ library offers an implementation of an XML Infoset compliant object model that enables the on-demand construction of an object tree. It features an innovative "pull-through" model that permits users to disable tree construction and directly utilize the underlying pull event stream through the StAX API. Additionally, it incorporates support for XML Optimized Packaging (XOP) and MTOM, allowing XML to efficiently and transparently handle binary data. This combination results in an easy-to-use API backed by a highly efficient architecture. Originally developed as part of Apache Axis2, Apache Axiom serves as the foundation of Apache Axis2; nonetheless, it stands alone as a unique XML Infoset model with advanced functionalities, making it suitable for independent use without reliance on Apache Axis2. Overall, its design principles prioritize efficiency and flexibility for developers working with XML data.

MissionKit provides a comprehensive suite of enterprise-level tools for XML, JSON, SQL, and UML, tailored for information architects and application developers. This suite features renowned products like Altova XMLSpy, MapForce, and StyleVision, which are designed to facilitate the creation of modern software solutions. The integrated nature of the Altova MissionKit tools allows users to enhance efficiency in development processes, resulting in both time savings and reduced costs. By selecting MissionKit, you can acquire all the listed products for a fraction of the individual purchase prices—specifically, seven powerful tools for less than the cost of just two!* Among its offerings, the Altova XMLSpy stands out as the leading graphical editor for both JSON and XML, equipped with a sophisticated schema designer, code generation capabilities, file conversion tools, debugging and profiling features, comprehensive database integration, and support for a variety of standards including XSLT, XPath, XQuery, WSDL, SOAP, XBRL, and Open XML (OOXML). Furthermore, it seamlessly integrates with popular development environments such as Visual Studio and Eclipse, thereby providing a robust solution for developers.

Berkeley DB encompasses a suite of embedded key-value database libraries that deliver scalable and high-performance data management functionalities for various applications. Its products utilize straightforward function-call APIs for accessing and managing data efficiently. With Berkeley DB, developers can create tailored data management solutions that bypass the typical complexities linked with custom projects. The library offers a range of reliable building-block technologies that can be adapted to meet diverse application requirements, whether for handheld devices or extensive data centers, catering to both local storage needs and global distribution, handling data volumes that range from kilobytes to petabytes. This versatility makes Berkeley DB a preferred choice for developers looking to implement efficient data solutions.

Apache Xerces is a collaborative initiative focused on delivering robust, feature-rich, high-quality, and freely accessible XML parsers along with associated technologies across a diverse range of platforms and programming languages. This endeavor is driven by the collective efforts of individuals and organizations worldwide, who utilize the Internet for communication, planning, and the development of XML software and its documentation. The primary goal of Apache Xerces is to foster the adoption of XML, which we recognize as an effective framework for organizing data as information, thus enhancing the processes of exchange, transformation, and presentation of knowledge. By enabling the conversion of unrefined data into actionable information, we believe there is significant potential to enhance the efficiency and capabilities of information systems. Our mission is to develop and provide XML parsers and related technologies at no cost, ultimately aiming to drive these advancements and improvements in the field of information technology. Such efforts reflect a commitment not only to technological progress but also to the empowerment of users and developers in navigating the complexities of data management.

Anakia may be simpler to grasp than XSL while still offering comparable functionality. There's no need to wrestle with complicated <xsl:> tags; instead, you can focus on utilizing the provided Context objects, JDOM, and the straightforward directives from Velocity. Additionally, Anakia appears to deliver significantly faster performance than Xalan's XSL processor when generating web pages. For instance, it can produce 23 pages in just 7-8 seconds on a PIII 500mhz system running Win98 and JDK 1.3 with client Hotspot, whereas a similar setup using Ant's <style> task takes about 14-15 seconds, resulting in nearly double the speed. Anakia, designed to succeed Stylebook—which was originally used for creating consistent, static web pages—is particularly well-suited for documentation and project websites, exemplified by those hosted on www.apache.org and jakarta.apache.org. Although it is tailored for specific tasks, it sacrifices some of the additional capabilities found in XSL, making it an efficient choice for targeted web development needs. Ultimately, Anakia serves as an effective tool for those looking for simplicity without compromising essential features.

Altova XMLSpy stands out as the top-selling editor globally for JSON and XML, offering an array of tools for modeling, editing, transforming, and debugging these technologies. With its advanced graphical schema designer, code generation capabilities, file converters, and debugging tools, XMLSpy equips developers with everything they need to create complex applications, supporting formats such as XSD, XSLT, XQuery, XBRL, and SOAP. Developers often seek a JSON and XML editor that goes beyond mere bracket matching and basic validation, and XMLSpy delivers a robust feature set including graphical views, intuitive code generators, wizards, and intelligent editing functionalities that significantly enhance productivity. By simplifying the editing process for XML and associated technologies, XMLSpy features an easy-to-navigate interface enriched with diverse views and options. No matter your preference for a text-based or graphical XML viewer, XMLSpy is designed to provide smart assistance throughout the editing experience, ensuring a seamless workflow. Ultimately, XMLSpy transforms the way developers interact with JSON and XML, making it an indispensable tool in their toolkit.

Welcome to the Evergreen project site, a powerful and scalable software solution designed for libraries that assists patrons in locating library resources while enabling libraries to effectively manage, catalog, and circulate materials, regardless of their size or complexity. The Evergreen Project is dedicated to creating an open-source integrated library system (ILS) that is currently utilized by over 2,000 libraries worldwide. Known as Evergreen, this software provides a public catalog interface for libraries while also streamlining essential back-end functions such as circulation, which includes checkouts and returns, acquiring new materials, and facilitating resource sharing among different library networks. The functionality of Evergreen is built upon a diverse array of technologies, including Perl, C, JavaScript, XML, XPath, XSLT, XMPP, OpenSRF, Apache, mod_perl, and PostgreSQL. For those looking to implement Evergreen, it is advisable to use the latest stable release of a compatible Linux distribution to ensure optimal performance and support. This robust platform not only enhances the user experience for patrons but also significantly improves operational efficiencies for libraries.

InterSystems IRIS, a cloud-first data platform, is a multi-model transactional database management engine, application development platform, interoperability engine and open analytics platform. InterSystems IRIS offers a variety of APIs that allow you to work with transactional persistent data simultaneously. These include key-value, relational and object, document, and multidimensional. Data can be managed by SQL, Java, node.js, .NET, C++, Python, and native server-side ObjectScript language. InterSystems IRIS features an Interoperability engine as well as modules for building AI solutions. InterSystems IRIS features horizontal scalability (sharding and ECP), and High Availability features such as Business intelligence, transaction support and backup.

DiffDog offers an array of advanced features that enable users to compare and merge various types of text files, accommodating formats like Unicode, ASCII, and MBCS among others. It provides the ability to perform bi-directional merges and allows for direct editing of the files being compared. Additionally, DiffDog ensures that a backup of each file is generated automatically, which permits users to easily revert to the original version from the server or disk whenever necessary. The tool's XML differencing and editing capabilities leverage Altova’s established reputation as the developer of XMLSpy, a leading solution in XML development. With essential functionalities such as well-formedness checks, validation, code completion, and DTD/schema entry aids, DiffDog stands out as an indispensable tool for web and software developers who work with XML. Its user-friendly interface further enhances the experience, making complex tasks more manageable.

BaseX is a powerful and efficient XML database engine, featuring a fully compliant XQuery 3.1 processor that adheres to W3C Update and Full Text extensions. This platform is ideal for creating intricate, data-heavy web applications and provides user-friendly interfaces, both desktop and web-based, that enhance your understanding of the data. As an entirely open-source solution, BaseX encourages users to join its mailing lists for continuous updates. The company behind BaseX, BaseX GmbH, offers expert support, custom software solutions, and training on XML technologies to help users maximize their experience. If you appreciate BaseX and wish to contribute to its open-source growth, consider making a donation. Additionally, BaseX is lightweight, user-friendly, and designed to function seamlessly right after installation, making it accessible for developers of all levels. It's no wonder that many users are drawn to BaseX for their XML database needs.

The Apache Lucene™ initiative is dedicated to creating open-source search technology. This initiative not only offers a fundamental library known as Lucene™ core but also includes PyLucene, which serves as a Python interface for Lucene. Lucene Core functions as a Java library that delivers robust features for indexing and searching, including capabilities for spellchecking, hit highlighting, and sophisticated analysis/tokenization. The PyLucene project enhances accessibility by allowing developers to utilize Lucene Core through Python. Backing this initiative is the Apache Software Foundation, which supports a variety of open-source software endeavors. Notably, Apache Lucene is made available under a license that is favorable for commercial use. It has established itself as a benchmark for search and indexing efficiency. Furthermore, Lucene is the foundational search engine for both Apache Solr™ and Elasticsearch™, which are widely used in various applications. From mobile platforms to major websites like Twitter, Apple, and Wikipedia, our core algorithms, together with the Solr search server, enable a multitude of applications globally. Ultimately, the objective of Apache Lucene is to deliver exceptional search capabilities that meet the needs of diverse users. Its continuous development reflects the commitment to innovation in search technology.

Apache Yetus comprises a suite of libraries and tools designed to facilitate the contribution and release workflows for software projects. It offers a comprehensive framework for automatically validating new contributions against a range of standards recognized by the community, alongside features for documenting a clearly defined supported interface for downstream projects. Additionally, it equips release managers with tools to create release documentation based on data sourced from community issue trackers and source code repositories. Predominantly, the software is developed using shell and various scripting languages, with the project's name derived from a term linked to the Cymbium genus of gastropods, paying homage to shell code. The Yetus Precommit build, patch, and continuous integration suite empowers projects to formalize their criteria for patch acceptance and assess incoming contributions before they reach the review stage by a committer. Furthermore, the Audience Annotations feature enables developers to utilize Java Annotations to indicate which segments of their Java library are intended for public consumption, enhancing clarity for users. This combination of tools and features makes Yetus an invaluable resource for software development communities looking to streamline their processes.

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

Apache Geronimo is a collection of open-source initiatives aimed at delivering JavaEE/JakartaEE libraries along with Microprofile implementations. Our focus is on creating reusable Java EE components that are both widely utilized and actively maintained. The project supplies libraries that align with the specifications of Java EE and Jakarta EE, while also emphasizing the provision of OSGi bundle metadata. A key objective of the XBean project is to develop a server that operates in a plugin-based manner, similar to how Eclipse functions as a plugin-centric IDE. XBean will have the capability to identify, download, and install server plugins from a repository available on the Internet. Furthermore, it encompasses support for various IoC systems, the option to run without an IoC system, JMX functionality without the need for JMX code, lifecycle and class loader management, and robust integration with Spring. In addition to these features, Apache Geronimo also supports several Microprofile implementations. Moreover, the Apache Geronimo Arthur initiative aims to create a lightweight layer that operates on top of Oracle GraalVM, enhancing the project's versatility and performance. This makes Apache Geronimo a valuable resource for developers seeking comprehensive solutions in the Java ecosystem.

Flexter is an entirely automated solution that eliminates the need for coding skills, allowing users to efficiently un-silo industry-standard XML data and transform it into a format suitable for database use. Regardless of the industry, data is often stored in formats that require careful extraction and interpretation to be useful, creating challenges for effective analysis. What sets Flexter apart in the realm of data management and warehousing is its capability to fully automate the data conversion process. This issue is particularly prevalent in sectors like insurance, finance, healthcare, travel, and retail, where conventional methods for accessing and analyzing vital data can be slow, tedious, and costly. Such inefficiencies hinder the timely flow of information that data analysts require, ultimately affecting crucial decision-making at higher organizational levels. By streamlining this process, Flexter allows businesses to allocate more time and resources toward delivering value while ensuring that critical data is swiftly converted into a format that is both readable and ready for analysis, thereby enhancing overall productivity and decision-making capabilities. In today’s fast-paced environment, the ability to quickly access and analyze data is essential for maintaining a competitive edge.

Unlock the potential of your data, expedite insightful decision-making, and attain agility in data management securely with the MarkLogic data platform. This platform allows you to merge your data with all relevant metadata within a unified service, leading to quicker and more informed decision-making. Experience a reliable and efficient approach to securely link data and metadata, derive meaningful insights, and access high-quality contextualized information throughout your organization using the MarkLogic data platform. Gain real-time insights into your customers to deliver relevant and seamless interactions, uncover new opportunities to drive innovation, and facilitate compliant access within a single data framework. With MarkLogic, you have a solid foundation that supports your essential business and technical goals both now and in the future, ensuring you stay ahead in a dynamic market.

Sonic XML Server™ offers a comprehensive suite of rapid processing, storage, and querying capabilities specifically designed for XML documents essential in managing the operational data of Sonic ESB. By handling XML messages in their native format, the XML Server ensures high-speed performance without imposing limitations on the XML message structure. The introduction of Extensible Markup Language (XML) marked a significant advancement as it is a versatile data format that operates independently of both hardware and software. XML's ability to convey information without being tied to specific system or application formatting rules makes it a vital technology for enabling the seamless exchange of diverse data types. Despite its advantages, this flexibility often demands substantial time and resources for processing XML structures. The Sonic XML Server addresses this challenge by delivering efficient processing and storage solutions for operational data, crucial for the effective implementation of a service-oriented architecture. Moreover, Sonic XML Server not only improves but also expands the XML message processing capabilities of Sonic ESB through its integrated native query, storage, and processing services, thereby enhancing overall system performance. Thus, users can experience a significant boost in efficiency and effectiveness when working with XML data.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

In contemporary enterprises, the surge of Big Data trends and XBRL requirements is generating vast and continuously expanding volumes of data in various formats such as XML, XBRL, JSON, and Avro. Fortunately, there is now a state-of-the-art, lightning-fast engine designed to validate, process, transform, and query all of this data efficiently. RaptorXML guarantees strict adherence to all pertinent XML, XBRL, and JSON standards and undergoes thorough regression and conformance testing, utilizing Altova’s extensive in-house collection of test suites along with industry-standard testing and real-world customer scenarios. As the popularity of JSON continues to grow, so does the necessity for ensuring the accuracy and validity of data transactions, which RaptorXML addresses by offering comprehensive features for JSON syntax checking, validation, and JSON Schema compliance. This engine not only streamlines data handling but also enhances reliability in data exchanges.

Sedna is an open-source native XML database that offers a comprehensive suite of fundamental database functionalities, such as persistent storage, ACID transactions, security measures, indexing, and hot backups. It boasts adaptable XML processing capabilities, featuring a W3C XQuery implementation that is seamlessly integrated with full-text search options and a node-level update syntax. Users can access several straightforward examples that are executable directly from the command line, alongside detailed instructions on how to execute the provided examples with Sedna. The distribution of Sedna includes a set of examples centered around the XMark XML benchmark, which facilitates easy exploration of Sedna's features. Among these examples are processes for bulk loading a sample XML document and executing various sample XQuery queries and updates on it. In the following section, we will demonstrate how to execute one of these examples effectively. Additionally, this user-friendly approach ensures that both beginners and experienced users can quickly grasp the functionalities available within Sedna.

OrigoDB allows you to create high-quality, mission-critical systems that deliver real-time performance while significantly reducing time and costs. This is not just empty advertising! We encourage you to continue reading for a straightforward overview of our features. Feel free to reach out with any inquiries or download and give it a try today! Operations performed in memory are significantly quicker than those conducted on disk. An individual OrigoDB engine is capable of processing millions of read transactions and thousands of write transactions per second, all while ensuring synchronous command journaling to a local SSD. This capability is the primary motivation behind the development of OrigoDB. Utilizing a single object-oriented domain model is much more efficient than managing an entire stack that encompasses a relational model, object/relational mapping, data access code, views, and stored procedures, which can lead to unnecessary complexity! Furthermore, the OrigoDB engine provides complete ACID compliance right from the start. Commands are executed sequentially, allowing the in-memory model to transition smoothly from one consistent state to another, ensuring data integrity at all times. This streamlined approach ultimately enhances overall system performance and reliability.

TEXTML Server serves as a specialized database system specifically created for the effective storage and retrieval of XML documents, in addition to various other formats such as PDFs and images. This system acts as a fundamental component for applications that require the management of extensive XML data or for those dealing with loosely structured information that conventional relational databases struggle to accommodate efficiently. Its core design focusing on XML grants TEXTML Server significant adaptability, making it an excellent fit for a broad range of applications. Users can implement it independently or in conjunction with traditional relational databases, enhancing its utility. The system is compatible with both two-tier and n-tier architectures, facilitating browser-based applications as well. Moreover, client applications that utilize the TEXTML SDK can operate seamlessly on Windows as well as multiple distributions of Linux. For comprehensive details regarding system requirements, users are encouraged to consult the TEXTML Server Installation Guide, ensuring a smooth setup process. Overall, TEXTML Server stands out as a powerful tool for developers needing to handle complex data structures efficiently.

EditiX presents updates and error notifications within the status bar located on the right side of the interface. It features a tabbed display of currently open documents, showcasing an icon and file name that vary according to the document type and its path. On the left side, users will find a panel that hosts various tools, including a file browser, project manager, and XPath evaluator. In addition to these components, EditiX offers an extensive array of functionalities, such as a versatile XSLT editor and debugger compatible with different versions, support for XML databases like eXist, Xindice, and XML Berkeley DB, real-time syntax error detection, and XPath location within documents. Furthermore, it validates XML documents against established standards and provides a context-sensitive content assistant that relies on XML Schema, DTD, and XML Relax NG. The platform is also highly customizable, allowing users to adjust settings according to their preferences, while offering robust refactoring capabilities for elements, attributes, schema types, template names, variables, and parameters. This comprehensive suite of features makes EditiX an essential tool for anyone working extensively with XML and related technologies.

By completing a single installation step, you gain access to all the necessary tools at once. This eliminates the hassle of configuring various system components separately. The platform is fully equipped with features, enabling the development of sophisticated applications with ease. Utilizing XML throughout all layers renders mapping technologies unnecessary and boosts overall productivity. Additionally, every version of eXist-db is Open Source, making it suitable for academic, non-commercial, and commercial use alike. This flexibility ensures that developers can leverage its capabilities across a wide range of projects.

Welcome to the world of Subversion, the digital home of the Apache® Subversion® software initiative. Subversion serves as an open-source version control system that has gained immense popularity since its establishment in 2000 by CollabNet, Inc. Over the past ten years, the Subversion project and its software have achieved remarkable success. The tool has been widely embraced not only in the open-source community but also among businesses and organizations. Developed under the auspices of the Apache Software Foundation, Subversion benefits from a vibrant community of developers and users who contribute to its ongoing improvements. We are constantly seeking individuals with diverse skill sets to join us in enhancing Apache Subversion. The goal of Subversion is to be universally recognized as an open-source, centralized version control system, prized for its dependable nature as a secure repository for critical data, the ease of its model and application, and its capacity to cater to the diverse requirements of various users and projects. With an ever-growing user base, Subversion continues to evolve to meet the changing needs of its community.

Utilize Subversion to manage versions of individual projects or entire repositories outside of ODI, incorporating automated dependency management for ODI. The automated build process generates a release for either a single project or a full repository, resulting in an archive that can be stored for future reference. The automated deployment initiates from this archive, allowing for the restoration of the project to any designated test or production repository. Repositories are created automatically, providing a streamlined environment. As developers version their code and support for parallel development is enabled, the overall code base becomes more robust. This efficient management of various releases and hot fixes enhances speed, transparency, and reliability. Once a developer commits their code to the version control system, a comprehensive and automated workflow encompassing build, deployment, approval, and notification is activated. This entire process is designed to be dependable, reproducible, and traceable, enabling more frequent deployments and smoother transitions. By adopting this automated system, organizations can significantly improve their development cycles and overall project management efficiency.

Apache Ant serves as a Java library and a command-line utility designed to execute processes outlined in build files, where targets and extension points are interdependent. Primarily, Ant is utilized for building Java applications, providing various built-in tasks that facilitate compiling, assembling, testing, and running these applications. Additionally, Ant proves to be effective in constructing non-Java applications, such as those written in C or C++. Beyond its specific language applications, Ant can manage any process that can be articulated in terms of tasks and targets, showcasing its versatility. Being developed in Java, Ant allows users to create custom "antlibs" that include tailored tasks and types while also offering a plethora of existing commercial and open-source "antlibs." This flexibility means that Ant does not enforce any specific coding standards or directory structures, making it adaptable for diverse Java projects that choose to implement it as their build system. Consequently, the adaptability and extensive features of Ant make it a preferred choice for developers across various programming environments.

Drools serves as a comprehensive Business Rules Management System (BRMS) that includes a core Business Rules Engine (BRE) and a web-based application for authoring and managing rules, known as Drools Workbench. Additionally, it offers complete runtime support for Decision Model and Notation (DMN) models, adhering to Conformance level 3, along with an Eclipse IDE plugin to facilitate core development tasks. As an open-source solution released under the Apache License 2.0, Drools is developed entirely in pure Java™ and is compatible with any Java Virtual Machine (JVM). Furthermore, it can be readily accessed through the Maven Central repository, making it convenient for developers to integrate into their projects. This accessibility and flexibility highlight its appeal in various business environments.

Stylus Studio® X16 XML Enterprise Suite sets a new standard for efficiency in XML development tools. Almost 2 million XML developers and specialists in data integration rely on Stylus Studio's all-encompassing and user-friendly XML toolkit to address the sophisticated challenges of XML data transformation and aggregation that exist today. You should consider joining them! Recognized with accolades such as CRN Magazine's Product of the Year Award, the Dr. Dobb's Jolt Productivity Award, and the SOAWorld Readers' Choice Award for its outstanding technical quality and user-friendly features, Stylus Studio streamlines every aspect of XML development. Whether you're creating web applications that convert relational data to XML, utilizing legacy data formats like EDI, HL7, or standard flat files such as CSV, or tackling intricate XSLT stylesheets, Stylus Studio empowers you to unlock the potential of both current and future XML technologies. With tools ranging from XQuery to XML Pipelines, as well as Java or C# for .NET code generation, Stylus Studio is the ultimate XML IDE that encompasses everything you need to succeed in your projects. Its versatility and comprehensive features make it a go-to choice for developers looking to enhance their productivity and streamline their workflow.

Deequ is an innovative library that extends Apache Spark to create "unit tests for data," aiming to assess the quality of extensive datasets. We welcome any feedback and contributions from users. The library requires Java 8 for operation. It is important to note that Deequ version 2.x is compatible exclusively with Spark 3.1, and the two are interdependent. For those using earlier versions of Spark, the Deequ 1.x version should be utilized, which is maintained in the legacy-spark-3.0 branch. Additionally, we offer legacy releases that work with Apache Spark versions ranging from 2.2.x to 3.0.x. The Spark releases 2.2.x and 2.3.x are built on Scala 2.11, while the 2.4.x, 3.0.x, and 3.1.x releases require Scala 2.12. The primary goal of Deequ is to perform "unit-testing" on data to identify potential issues early on, ensuring that errors are caught before the data reaches consuming systems or machine learning models. In the sections that follow, we will provide a simple example to demonstrate the fundamental functionalities of our library, highlighting its ease of use and effectiveness in maintaining data integrity.

A hybrid front-end efficiently switches between Gluon eager imperative mode and symbolic mode, offering both adaptability and speed. The framework supports scalable distributed training and enhances performance optimization for both research and real-world applications through its dual parameter server and Horovod integration. It features deep compatibility with Python and extends support to languages such as Scala, Julia, Clojure, Java, C++, R, and Perl. A rich ecosystem of tools and libraries bolsters MXNet, facilitating a variety of use-cases, including computer vision, natural language processing, time series analysis, and much more. Apache MXNet is currently in the incubation phase at The Apache Software Foundation (ASF), backed by the Apache Incubator. This incubation stage is mandatory for all newly accepted projects until they receive further evaluation to ensure that their infrastructure, communication practices, and decision-making processes align with those of other successful ASF initiatives. By engaging with the MXNet scientific community, individuals can actively contribute, gain knowledge, and find solutions to their inquiries. This collaborative environment fosters innovation and growth, making it an exciting time to be involved with MXNet.

Apache NetBeans is a dynamic, open-source Integrated Development Environment (IDE) that supports the development of applications in various programming languages, such as Java, JavaScript, PHP, HTML5, and C/C++. Renowned for its modular framework, NetBeans equips developers with a comprehensive suite of tools and features tailored for creating desktop, mobile, and web applications. It boasts advanced code editing, debugging, and profiling functionalities, as well as an integrated visual GUI builder for crafting user interfaces in Java. Additionally, NetBeans provides support for multiple version control systems like Git, SVN, and Mercurial, enhancing collaborative efforts among teams. As a project under the Apache Software Foundation, NetBeans is continually refined by a vibrant community dedicated to expanding its capabilities, ensuring it remains a dependable and adaptable option for developers in numerous fields. Furthermore, its extensive documentation and tutorials make it accessible for both novice and experienced programmers alike.

HtmlUnit serves as a "GUI-less browser for Java applications," designed to model HTML documents while providing an API for interactions with web pages, such as loading pages, submitting forms, and following links, which mirrors the functionality of a traditional web browser. Its JavaScript support is notably robust and continues to evolve, allowing it to effectively manage complex AJAX scenarios, and it can mimic various browsers like Chrome, Firefox, or Edge based on the chosen settings. While primarily aimed at testing or data extraction from websites, HtmlUnit is not a standalone unit testing framework; instead, it functions within larger testing frameworks like JUnit or TestNG to replicate browser behavior. This tool serves as the foundation for many open-source applications, including WebDriver, Arquillian Drone, and Serenity BDD, and is widely adopted by numerous projects focused on automated web testing, such as Apache Shiro, Apache Struts, and Quarkus. Its ability to operate without a graphical user interface makes it particularly valuable for developers seeking to automate browser interactions in a more efficient and resource-friendly manner.

Apache Derby, a subproject of Apache DB, is a free and open-source relational database system that is completely written in Java and distributed under the Apache License, Version 2.0. With a compact size of approximately 3.5 megabytes for its core engine and embedded JDBC driver, Derby is designed to be lightweight and efficient. It offers an embedded JDBC driver that enables seamless integration of Derby into any Java application. Additionally, Derby accommodates traditional client/server architecture through its Derby Network Client JDBC driver and Derby Network Server, ensuring versatile deployment options for developers. This flexibility makes Derby a suitable choice for a wide range of applications.

The JsPHP library is a completely free and open-source resource available for developers. The website dedicated to JsPHP serves as a community hub, offering a collaborative platform and a web-based Integrated Development Environment (IDE) for creating this open-source JavaScript library, which implements the PHP API for JavaScript settings. An IDE is essentially a tool designed for programming, and the JsPHP site facilitates the creation and testing of software applications. Within the JsPHP IDE, registered users have the ability to modify the JavaScript functions in the library and write code to verify the functionality and performance of these functions, including measuring their execution speed on a computer. For those who are new to JavaScript, contributing to JsPHP presents an excellent opportunity to engage with the community, as there are numerous beginner-friendly tasks available that you can assist with. By participating, you can gain invaluable experience and enhance your programming skills while collaborating with others.

Apache OFBiz is a versatile suite of business applications suitable for a variety of industries. Its uniform architecture empowers developers to effortlessly modify or expand it to incorporate tailored functionalities. The framework, built on Java, features an entity engine, a service engine, and a widget-based user interface, facilitating rapid prototyping and web application development. Having been an Apache top-level project for a decade, OFBiz has demonstrated its stability and maturity as a comprehensive ERP solution that can adapt to the evolving needs of businesses. The highly adaptable architecture of OFBiz allows developers to efficiently enhance and customize the framework with additional features. Furthermore, Apache OFBiz offers a selection of essential core modules right out of the box, including Accounting (GL, AR, AP, FA), CRM, Order Management & E-Commerce, warehousing and inventory, as well as manufacturing and MRP, making it a robust choice for enterprises. This extensive range of built-in modules ensures that organizations have the tools they need to streamline their operations effectively.

A JavaScript UI library and framework designed to enhance web development efficiency, the JS Framework facilitates the creation of cross-platform web applications with an impressive collection of 102 UI widgets alongside feature-rich CSS and HTML5 JavaScript controls. By utilizing these pre-built widgets and UI components, developers can save over 3000 hours in development time, allowing them to build web user interfaces 30% faster. Our team has curated the finest design concepts, thoughtfully evaluating the user experience of each Webix component across five distinct conceptual designs. Additionally, our knowledgeable support service team is well-versed in the intricacies of our library and is ready to assist with any challenges you may encounter. For further engagement, we offer an official support forum where users can interact and troubleshoot alongside our developers. Employing the Webix JS framework ensures that your project benefits from clean and lightweight code grounded in object-oriented programming principles, while also allowing seamless integration with the jQuery library, MVC frameworks such as AngularJS, React, Vue.js, and Backbone.js, as well as third-party UI extensions, enriching the overall development experience. This comprehensive solution not only accelerates the development process but also enhances the functionality and design of your web applications.

The Apache PDFBox® library serves as a versatile open-source tool in Java for managing PDF documents. This project facilitates the creation of new PDFs, as well as the modification of existing ones and the extraction of content from those documents. Additionally, Apache PDFBox features a variety of command-line utilities that enhance its functionality. Released under the Apache License v2.0, this library allows users to extract Unicode text from PDFs, split a single PDF into multiple files, or combine several PDFs into one. It also enables the extraction of data from forms or the filling of PDF forms, along with validating PDF files according to the PDF/A-1b standard. Users can print PDFs via the standard Java printing API, create new PDFs from scratch that include embedded fonts and images, and save PDFs as image files like PNG or JPEG. Furthermore, the library offers the capability to digitally sign PDF documents, enhancing their authenticity and security. It's important to note that users should review the export control information concerning the encryption features provided by Apache PDFBox for compliance with regulations.

Jaunt is a Java library tailored for web scraping, web automation, and querying JSON data. It features a lightweight, fast headless browser that allows Java applications to execute web scraping, manage forms, and interact with RESTful APIs. This library can parse various formats such as HTML, XHTML, XML, and JSON, while also providing functionalities like manipulation of HTTP headers and cookies, support for proxies, and options for customizable caching. Although Jaunt does not execute JavaScript, users looking to automate JavaScript-capable browsers are encouraged to use Jauntium. Distributed under the Apache License, Jaunt has a monthly version that requires periodic updates, compelling users to download the latest release once it expires. It is particularly effective for tasks that involve extracting and parsing data from web pages, submitting filled forms, and managing HTTP requests and responses. Additionally, users can find extensive tutorials and documentation to help them efficiently navigate and utilize the features of Jaunt, making it an accessible choice for developers.

Jetty serves as both a web server and a servlet container, offering capabilities for HTTP/2, WebSocket, OSGi, JMX, JNDI, JAAS, among other integrations. These elements are open source, allowing for free commercial use and distribution. Jetty finds application in a diverse range of projects and products across development and production environments. Developers have preferred Jetty for years due to its strong history of easy embedding in devices, tools, frameworks, application servers, and contemporary cloud services. It is a robust, standards-compliant framework that is open source and usable commercially, featuring flexibility, extensibility, a small footprint, and support for asynchronous operations, all while being enterprise scalable and dual-licensed under both Apache and Eclipse. It is utilized in large-scale clusters like Facebook Presto and in cloud computing platforms such as Google AppEngine. As Java and the JakartaEE project (previously JavaEE) evolved in 2020, the current recommended Jetty version hinges on factors such as the servlet API version and licensing preferences. Jetty continues to adapt, ensuring it meets the evolving needs of modern software development.

The modular architecture provides remarkable flexibility by permitting the integration of various libraries. This adaptable framework serves as a comprehensive foundation for a wide range of server-side applications. It harnesses the latest features of JavaScript, introducing design patterns and well-established solutions to the Node.js ecosystem. Serving as an all-encompassing development kit, it facilitates the creation of scalable server-side applications. In recent years, Node.js has positioned JavaScript as the dominant language of the web, applicable to both frontend and backend development. This shift has led to the emergence of impressive frameworks such as Angular, React, and Vue, which enhance developer efficiency and allow for the rapid development of fast, testable, and extendable frontend applications. Nonetheless, despite the abundance of exceptional libraries, utilities, and tools available for Node and server-side JavaScript, there remains a significant challenge that is not adequately addressed—namely, the issue of architecture. This gap highlights the need for more robust solutions that can streamline and improve the overall structure of server-side development.

Ehcache is a widely-used open-source caching solution that enhances performance, reduces database load, and makes scaling more straightforward. Its popularity among Java developers stems from its reliability, comprehensive features, and seamless integration with various libraries and frameworks. The cache can accommodate needs ranging from in-process caching to larger mixed deployments that handle terabyte-scale data. With Terracotta overseeing its development, maintenance, and support, Ehcache continues to thrive as a professional open-source project licensed under Apache 2.0. The community encourages contributors to engage and help improve this valuable tool. This collaborative spirit not only strengthens the project but also fosters innovation and growth within the caching ecosystem.