Artifacts using Apache Log4j API (8,077)

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.

The Apache Log4j SLF4J API binding to Log4j 2 Core

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". It takes an opinionated view of the Spring platform and third-party libraries so you can get started with minimum configuration.

Apache POI - Java API To Access Microsoft Format Files

HikariCP is a "zero-overhead" production ready JDBC connection pool.

The JBoss Logging Framework

Apache POI - Java API To Access Microsoft Format Files

Core libraries for Apache Spark, a unified analytics engine for large-scale data processing.

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

Logging macros which delegate to a specific logging implementation, selected at runtime when the clojure.tools.logging namespace is first loaded.