VCom4j provides dedicated datastructures, frameworks and constructs to facilitate in-memory processing of very large datasets (Gbs to Tbs per node), that combine an optimized memory footprint, low latency and high throughput.

• Base General purpose datastructures and constructs (no cross or external dependencies)

  • Containers Container-type datastructures (lists, sets, maps, trees, tries, queues)
  • Conversion Format conversion, (en/de)coding and (de)serialization
  • Extensions Language extensions, typing and syntactic tools
  • Functors Functional primitives and frameworks
  • Management Configuration, logging and monitoring constructs

• Core Extended functions on specific data types or environments (depends only on Base modules)

  • Concurrent Thread-safe datastructures
  • Geometry Geometry data representation, search and storage
  • Presentation Visual rendering primitives and frameworks

• Data Data-storage and data-processing frameworks (depends on Base and Core modules)

  • Learning Machine-learning primitives and algorithms
  • Linguistics NLP and character data analysis structures
  • VisualDiff Change detection and comparison algorithms

• Serv Serving and monitoring frameworks (depends on Base and Core modules and external libraries)

For each $module, invoking

ant -f $module/build.xml clean compile test artifact

will build source, bytecode and documentation jars in the local $module/lib directory.

Adding an extra publish target to the above line will publish to the local repo, by default .ivy/dist in the project root.

This set of libraries is distributed under LGPL v2.1. Please refer to LICENSE.txt for detail.