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The FXL Project Eclipse Plugin leverages the integration of DSLs, (meta-) modeling approaches, code generation and the development of software configuration tools (sw-component-configuration).
Modabi is a Modular Data Binding library for Java, which aims to provide users with the most flexible and comprehensive feature set possible.
Modabi can be used to provide mappings between Java objects in memory and a number of formats, including Yaml and XML, without any modification to existing business objects. Check out the wiki for a more in depth examination of the features of Modabi.
JetSet is a (meta) tool that lets your quickly create model tranformator tools for instances of a given source meta model. For XML to XML transformations you can also specify a target XML schema and JetSet makes sure that your output conforms to this.
Memomics Forge is a meta-project for software that utilizes the Memomics Semantic Service.
Memomics Semantic Service provides semantic data which can be embedded in applications via webservices.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Meta-Messager: A project that aims to develop a Semantic Web based framework for semantic annotation of B2B message schemas (e.g. XML, EDIFACT, ASN.1) and translation of B2B messages to and from business ontologies.
Water: a fast, secure, dynamic OO language and database. Water is an all-purpose language (and meta-language) that runs Web applications in the browser or server-side. Water is compatible with .NET, Java, and C on Windows, Linux and Mac OS X system.
The Retrieval Component Integrator Project (RECOIN) intends to provide an extensible framework of Java classes to build a meta-search and information retrieval (IR) system based on heterogenous IR components as part of a modular retrieval process. The so