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Evita is a specialized database with easy-to-use API for e-commerce systems. Purpose of this research is creating fast and scalable engine that handles all complex tasks that e-commerce systems has to deal with on daily basis. Evita should operate as a fast secondary lookup / search index used by application frontends. We aim for order of magnitude better latency (10x faster or better) for common e-commerce tasks than other solutions based on SQL or NoSQL databases on the same hardware specification. Evita should not be used for storing and handling primary data, and we don't aim for ACID properties nor data corruption guarantees. Evita "index" must be treated as something that could be dropped any time and built up from scratch easily again.

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

Java Simplified. Extensions and Useful Constructs for the Java Platform. Codeprimate Elements (a.k.a. cp-elements) is a Java library and micro-framework used to simplify the development of software applications written in Java. Elements packages several APIs into one library in order to address various application concerns and aspects of software design and development collectively and conveniently. Elements is a highly simple, yet robust and proven library built on solid OO principles, software design patterns and best practices to effectively solve common and reoccurring problems in software development. Write better Java!

A simple platform on which Java/Swing desktop applications may be built. This updated version has packaged the entire library into a single JAR file. We have also made the following changes: ToolBarGenerator should now create ButtonGroups properly for state actions. ApplicationContext has accessors for the WindowManager, DockingManager, StatusDisplayer, and ProgressHandler implementations. It defaults to testing the Application's MainView and the MainView's StatusBar, then uses the Lookup, if the MainView and its StatusBar do not implement the desired interfaces. StatusMessage now uses the com.pekinsoft.desktop.error.ErrorLevel instead of the java.util.logging.Level, so that the levels will no longer need to be cast in order to be used.

The ONNX Runtime Mobile package is a size optimized inference library for executing ONNX (Open Neural Network Exchange) models on Android. This package is built from the open source inference engine but with reduced disk footprint targeting mobile platforms. To minimize binary size this library supports a reduced set of operators and types aligned to typical mobile applications. The ONNX model must be converted to ORT format in order to use it with this package. See https://onnxruntime.ai/docs/reference/ort-format-models.html for more details.

Red Hat Global Social Innovation Program is partnering with Boston University and Smarta Byar in order to collaborate on creating a global and open research platform allowing researchers to study what social sustainability means by using a digital twin of Veberöd, Sweden as the test village, supported by Smarta Byar. The goal of this collaboration is to build the open source technological infrastructure so that researchers can collaborate on this platform effectively to study mobility, public health, sustainability among other study areas to ultimately help define better the link between well being and eco-smart cities.

Red Hat Global Social Innovation Program is partnering with Boston University and Smarta Byar in order to collaborate on creating a global and open research platform allowing researchers to study what social sustainability means by using a digital twin of Veberöd, Sweden as the test village, supported by Smarta Byar. The goal of this collaboration is to build the open source technological infrastructure so that researchers can collaborate on this platform effectively to study mobility, public health, sustainability among other study areas to ultimately help define better the link between well being and eco-smart cities.

Java Simplified. Extensions and Useful Constructs for the Java Platform. Codeprimate Elements (a.k.a. cp-elements) is a Java library and micro-framework used to simplify the development of software applications written in Java. Elements packages several APIs into one library in order to address various application concerns and aspects of software design and development collectively and conveniently. Elements is a highly simple, yet robust and proven library built on solid OO principles, software design patterns and best practices to effectively solve common and reoccurring problems in software development.

scala-tptp-parser is a library for parsing the input languages of the TPTP infrastructure for knowledge representation and reasoning. The package contains a data structure for the abstract syntax tree (AST) of the parsed input as well as the parser for the different language of the TPTP, see http://tptp.org for details. In particular, parser are available for: - THF (TH0/TH1): Monomorphic and polymorphic higher-order logic, - TFF (TF0/TF1): Monomorphic and polymorphic typed first-order logic, including extended TFF (TFX), - FOF: Untyped first-order logic, - TCF: Typed clause-normal form, - CNF: (Untyped) clause-normal form, and - TPI: TPTP Process Instruction language. The parser was initially based on v7.4.0.3 of the TPTP syntax BNF (http://tptp.org/TPTP/SyntaxBNF.html), but is continuously updated to keep track of TPTP language updates.