Modern Load Testing as Code
- netty
- scala
- loadtesting
- automation
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Modern Load Testing as Code
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Property-based testing for Scala
Base classes to use when writing tests with Spark
A testing tool for Scala and Java developers
A simple testing framework for Scala
Scala testing library with actionable errors and extensible APIs
Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
property based testing library for Scala
The super light testing library for Scala and Scala.js
A gatling plugin for running load tests on Apache Dubbo(https://github.com/apache/incubator-dubbo) and other java ecosystem.
Gatling Plugin for SBT
Gatling plugin for Apache Kafka — produce, request-reply, and consume load testing with Avro, Protobuf, and Schema Registry support
Send Gatling logs to Elasticsearch
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
Remote execution plugin for gatling load tests.
Generation of arbitrary case classes / ADTs instances with scalaprops and shapeless
Gatling Extension for JDBC or Spark Thrift Server stress tests
Cross-platform(JVM, JS, Native) example project of scalaprops
Makeshift unit testing library for Scala Native