#JVM

Kover provides essential tools for measuring test coverage in Kotlin projects on JVM and Android. It includes Gradle and Maven plugins, a CLI, and JVM agents for detailed analysis. The Gradle plugin facilitates HTML/XML reporting and verification to enhance code quality across Kotlin and Java projects, supporting seamless setup through plugins DSL for both single and multi-project environments.

Explore a succinct overview of essential Java Virtual Machine (JVM) concepts, including memory architecture, object lifecycle, garbage collection strategies, performance tuning, and class structures. This guide complements Zhou Zhiming's in-depth work on JVM features, offering additional insights for comprehension. Participate in this open-source initiative to deepen your Java development expertise.

Eclipse Deeplearning4J provides a comprehensive ecosystem for developing JVM-based deep learning applications, supporting languages including Java, Scala, and Kotlin. It features DL4J for network creation, ND4J for mathematical operations, SameDiff for differentiation, and DataVec for data processing. Compatible with Apache Spark, TensorFlow, and ONNX, the platform operates across varied hardware. Ample documentation, community forums, and integration examples are available. Konduit K.K. offers additional commercial services.