Simple DSL for writing http4s services with idiomatic Scala pattern matching for requests and responses

A Domain Specific Language (DSL) for building HTTP services in Scala with type-safe route definition, status code generation, and composable request/response handling

Web-based user interface module for DeepLearning4J that provides visualization and monitoring capabilities for deep learning model training and evaluation

Command line interface for ADAM, a library and command line tool that enables the use of Apache Spark to parallelize genomic data analysis across cluster/cloud computing environments

Java and Python API bindings for ADAM genomics analysis library providing language-friendly interfaces for distributed genomic data processing.

Apache Spark YARN resource manager integration component that enables Spark applications to run on Hadoop YARN clusters

Low-level memory management and unsafe operations library for Apache Spark with direct memory access and optimized data structures

Apache Spark Unsafe module provides low-level unsafe operations for memory management, array operations, bitset operations, hash functions, and high-performance data types.

Low-level memory operations and data structures for high-performance computation in Apache Spark

Apache Spark Streaming custom Flume sink for reliable data ingestion

YARN Shuffle Service for Apache Spark that runs as a long-running auxiliary service in the NodeManager process to enable efficient shuffle operations.

Hadoop delegation token support for Kafka authentication in Spark streaming applications

Kafka 0.10+ Token Provider for Streaming - provides Hadoop delegation token support for Kafka integration in Apache Spark streaming applications

Apache Spark Streaming extension for scalable, fault-tolerant stream processing of live data streams

Spark Streaming - A scalable fault-tolerant streaming processing system that extends Apache Spark

Scalable, high-throughput, fault-tolerant stream processing library for real-time data processing on Apache Spark

Apache Spark streaming integration with Kafka 0.10+ providing exactly-once semantics and high-performance data consumption

Apache Spark Streaming integration with Apache Flume for collecting, aggregating, and moving large amounts of log data

Spark Streaming integration with Apache Flume for real-time data ingestion from Flume agents

A Flume sink implementation that provides an Avro RPC server for Spark streaming applications to poll data from Flume agents