Apache Spark - A unified analytics engine for large-scale data processing
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- scala
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- java
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Apache Spark - A unified analytics engine for large-scale data processing
CMAK is a tool for managing Apache Kafka clusters
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
A better build tool for Java, Scala and Kotlin: Simpler than Maven, easier than Gradle, with 3-7x faster dev workflows than other JVM build tools
Pure Scala Artifact Fetching
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Convenient and performant logging library for Scala wrapping SLF4J.
Lightweight real-time big data streaming engine over Apache Pekko
Low-code tool for automating actions on real time data | Stream processing for the users.
Create Docker images directly from sbt
The fastest logging library in the world. Built from scratch in Scala and programmatically configurable.
A scala library for interacting with the slack api and real time messaging interface
A gatling plugin for running load tests on Apache Dubbo(https://github.com/apache/incubator-dubbo) and other java ecosystem.
Scala Native HTTP server based on FreeUnit
SBT Plugin to ease working with JNI
Gatling Plugin for SBT
A Typesafe-logging (and slf4j) compatible logging library based on macros for Scala/JVM, Scala.js, and Scala Native
Plugins for ImageJ - color space conversions and color calibration
Gatling plugin for Apache Kafka — produce, request-reply, and consume load testing with Avro, Protobuf, and Schema Registry support
Gatling plugin for Kafka
Gatling DSL extensions — feeders, profile management, transactions, assertions, Redis integration, and utility functions
The Gatling Wait Plugin simplifies waiting for specific events in your testing scenarios by allowing customizable conditions, attempt management, and error handling.
Gatling plugin for JDBC — SQL queries, batch operations, and stored procedures with HikariCP connection pooling