Best open source load testing tools in the market.
The important metrics to consider when executing a load tests are: response time, latency, hits per second, errors per second and response codes.
There are a lot of open source tools in the market, and here we are going to present the most popular and most used load testing tools in an order that we consider most relevant to users these days:
Apache JMeter
Apache JMeter application is an open source load testing tool and is one of the most popular load testing tools ever created.
It has a huge community and it's highly maintained, with loads of releases and improvements at a monthly basis.
Language: JMeter is a pure Java application.
JMeter Load TestingTo run JMeter load tests with 20,000+ concurrent users and from more that 15+ world locations with modern charts and accurate results, you can check out LoadFocus JMeter Load Testing Cloud tool.
Used for load testing website and API and capable of measuring load time and measure a lot of useful load testing metrics.
Gatling
Gatling is one of the best developer tool to load test your web applications.
Gatling is able to simulate thousands of requests per second on your web application and get a complete report with percentiles of your response times' distributions and other performance metrics.
Language: Gatling is built on Scala, Akka, and Netty.
Gatling provides you with a GUI interface for recording traffic, and then converts it to a Scala script.
K6
K6 is an Open source load testing tool and SaaS for engineering teams.
It has a huge community and 12k stars on GitHub, with loads of releases and improvements at a monthly basis.
Language: K6 is written in GO.
It provides a clean, approachable scripting API, local and cloud execution, and flexible configuration and allows to create tests with their test builder, recorder or converters (JMeter, Postman, Swagger).
Bees with Machine Guns!
Bees with Machine Guns is an utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).
It has a huge community and it's highly maintained, with loads of releases and improvements at a monthly basis.
Language: Bees with Machine Guns! is written in Python.
Uses AWS EC2 to inject high traffic, however is not as easy to use comparing to JMeter or Gatling.
Artillery
Artillery is a modern load testing and smoke testing solution designed for cross-functional teams that run microservice-based systems on AWS and rely on CI/CD to ship at high velocity.
Get started and run a test in minutes from your local machine or a VM. Free & open-source.
Language: Artillery is a written in Javascript, and using NodeJS as its engine.
It's easy to install with npm and has a simple CLI interface with no GUI interface.
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