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The Java Data Objects 2.0 (JDO) API is a standard interface-based Java model abstraction of persistence, developed as Java Specification Request JSR 243 under the auspices of the Java Community Process. The JDO TCK is a test suite designed to test implementations of the Java Data Objects specification. In order to claim compatibility with JDO, an implementation must pass all relevant tests of the JDOTCK. NOTE!! There are no unit tests in this project.

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)

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.