Write scalable load tests in plain Python 🚗💨
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- python
- load-testing
- performance-testing
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Write scalable load tests in plain Python 🚗💨
Modern Load Testing as Code
Generate custom HTTP responses, the simpler way to test your Web Services
Property-based testing for Scala
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Base classes to use when writing tests with Spark
A testing tool for Scala and Java developers
Software Specifications for Scala
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)
Generate random data for MongoDB
property based testing library for Scala
🛡 Official AI Security Tool module for CVE-2026-54121 (Certighost): AD CS certificate abuse deep-dive, defensive audit workflows, and safe in-app console execution for authorized Active Directory security testing.
Attacking MQTT systems with Mosquittos (scalability and load testing utilities for MQTT environments)
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.
Snapshot testing for Java, Kotlin, and the JVM
Scalable, stateless selenium, playwright, devtools, mpc hub for Kubernetes cluster
A collection of resources covering different aspects of Gatling load testing tool usage.
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.