Load Testing
Showing 36 of 209 projects
A k6 plugin that transforms load test results into formatted HTML reports with charts and tables.
A port of the TPC-C benchmark for MySQL to measure database performance under OLTP workloads.
A shell script that automates distributed load testing by running Apache JMeter tests on Amazon EC2 instances or custom host lists.
A flexible command-line HTTP stress tester that can hit multiple targets with multiple configurations to simulate real-world load.
Educational resources and workshop materials for learning load testing principles and practical implementation with k6.
A Maven plugin that integrates Apache JMeter performance tests into your Maven build lifecycle.
A Docker-based framework for comprehensive performance testing, combining backend load testing with Apache JMeter and frontend testing with sitespeed.io and WebPageTest.
A load testing as a service (LTaaS) platform that runs Apache JMeter clusters on Kubernetes and OpenShift for scalable performance testing.
A k6 module for browser automation and end-to-end web testing with Playwright-like APIs and Chrome DevTools Protocol.
A template project for writing k6 load tests in TypeScript, providing type safety and improved developer experience.
Converts Postman collections into k6 script code for performance and load testing.
A declarative workflow-based automation and end-to-end testing framework for Go that simulates production environments.
A set of Python tools for scalability and load testing of MQTT environments by simulating high-volume publishers and subscribers.
A curated collection of open-source tools for debugging, benchmarking, load testing, and stress testing code and services.
A universal load testing framework for Rust with real-time terminal UI support for HTTP, gRPC, databases, and custom services.
A k6 extension for load testing Apache Kafka with support for multiple serialization formats, authentication, compression, and Schema Registry.
A web dashboard for analyzing, running, and monitoring JMeter load tests with continuous integration support.
A k6 extension that enables SQL database operations within performance and load tests.
Converts Postman collections (V2+) to JMeter JMX files for performance testing.
A JMeter plugin that exposes performance test results as Prometheus metrics via an HTTP API.
A JMeter plugin for load testing gRPC services without requiring pre-compiled protobuf classes.
A Docker Compose setup for running load tests with K6, Grafana, and InfluxDB for visualizing performance metrics.
A Kubernetes-native platform for running isolated performance tests using various load generators like JMeter, Locust, and k6.
A lightweight Go-based templating system for generating random data with customizable tokens.
A curated collection of publicly available resources on how companies around the world perform load testing and performance engineering.
Converts HAR and LI-HAR files into executable k6 load testing scripts.
A simple yet powerful Erlang application for generating configurable load patterns to test system performance.
A Gatling plugin for load testing Apache Dubbo and other Java-based services using standard API calls.
An Elixir-based framework for distributed HTTP and WebSocket load testing, performance monitoring, and custom metric tracking.
A Python API for scripting JMeter performance tests using Java JMeter-DSL via pyjnius.
A JMeter listener plugin that sends test results to InfluxDB v2.0 for real-time monitoring and visualization in Grafana.
A Gatling load test plugin for gRPC, enabling performance testing of gRPC services with Scala, Java, or Kotlin.
Parse Gatling simulation.log files to generate HTML reports with Plotly charts or CSV statistics.
Azure DevOps pipeline for scalable cloud load testing using Apache JMeter and Terraform to dynamically provision Azure Container Instances.
An integrated development environment for creating, debugging, and analyzing Gatling-based load tests with Kubernetes injection.
A Go-based random fake data generator extension for k6 performance tests, offering faster startup and lower memory usage.
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