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RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
High Performance Inter-Thread Messaging Library
A high performance caching library for Java
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
Apache Beam is a unified programming model for Batch and Streaming data processing.
An annotation processor for generating type-safe bean mappers
Runtime code generation for the Java virtual machine.
Apache Pinot - A realtime distributed OLAP datastore
Advanced Java Redis client for thread-safe sync, async, and reactive usage. Supports Cluster, Sentinel, Pipelining, and codecs.
Non-Blocking Reactive Foundation for the JVM
Reactive Streams Specification for the JVM
An Engine-Agnostic Deep Learning Framework in Java
Supplementary resources for the AWS Lambda Developer Guide
A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means
Apache Drill is a distributed MPP query layer for self describing data
Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
An Open Standard for lineage metadata collection
AWS SaaS Boost is a ready-to-use toolset that removes the complexity of successfully running SaaS workloads in the AWS cloud.
Metrics exporter for Amazon AWS CloudWatch
The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.
Tools and utilities to enable loading data and building graph applications with Amazon Neptune.
Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity.
OpenSearch Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.
Tools and utilities to enable loading data and building applications with Amazon Timestream.
Example applications in Java, Python and SQL for Kinesis Data Analytics, demonstrating sources, sinks, and operators.