#Java framework

Deep Java Library (DJL) is a high-level, open-source Java framework that facilitates deep learning integration without requiring machine learning expertise. It supports Java developers to seamlessly incorporate deep learning into applications using familiar Java IDEs. DJL's engine-agnostic feature offers flexibility in computational engine choice, and its ergonomic APIs promote best practices in model training and inference. It also provides automatic hardware optimization and extensive documentation for enhanced development and deployment.

Quarkus is a Cloud Native Java framework designed for high performance in containerized environments. Supporting 12-factor architecture on platforms like Kubernetes, it integrates imperative and reactive programming models. Built on standards like RESTEasy, JAX-RS, Hibernate ORM, and Apache Camel, Quarkus provides fast startup times suitable for microservices, maximizing developer efficiency. Comprehensive documentation, migration guides, and release plans are available for effective deployment.

Explore the Cadence Java client, a framework empowering scalable and resilient workflow and activity design using Uber's orchestration engine. This solution supports long-running asynchronous processes with easy integration via Maven or Gradle. Access extensive documentation and examples to advance development. Contribute to this open-source project under the Apache License and utilize Docker and CLI tools for efficient setup and deployment.