Core Jackson processing abstractions (aka Streaming API), implementation for JSON

Implementation for Apache Log4J, a highly configurable logging tool that focuses on performance and low garbage generation. It has a plugin architecture that makes it extensible and supports asynchronous logging based on LMAX Disruptor.

General data-binding functionality for Jackson: works on core streaming API

API for Apache Log4J, a highly configurable logging tool that focuses on performance and low garbage generation. It has a plugin architecture that makes it extensible and supports asynchronous logging based on LMAX Disruptor.

Add-on module to support JSR-310 (Java 8 Date & Time API) data types.

Add-on module for Jackson (https://github.com/FasterXML/jackson) to support JDK 8 data types.

A web service test double for all occasions

Spark SQL is Apache Spark's module for working with structured data based on DataFrames.

Support for reading and writing YAML-encoded data via Jackson abstractions.

Avro is a row-oriented remote procedure call and data serialization framework that produces a compact binary format.

The Vert.x core APIs contain the backbone for writing Vert.x applications and low-level support for HTTP, TCP, UDP, file system, asynchronous streams and many other building blocks.