Gatling vs Locust: What are the differences?
Developers describe Gatling as "open-source load testing framework based on Scala, Akka and Netty". Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support.. On the other hand, Locust is detailed as "Define user behaviour with Python code, and swarm your system with millions of simultaneous users". Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle.
Gatling and Locust belong to "Load and Performance Testing" category of the tech stack.
Gatling and Locust are both open source tools. Locust with 10.3K GitHub stars and 1.48K forks on GitHub appears to be more popular than Gatling with 4.28K GitHub stars and 912 GitHub forks.
Streamdata.io, SpectoLabs Ltd, and StellaService are some of the popular companies that use Gatling, whereas Locust is used by confirm IT solutions, Mirumee Software, and Cherry. Gatling has a broader approval, being mentioned in 20 company stacks & 13 developers stacks; compared to Locust, which is listed in 10 company stacks and 5 developer stacks.
What is Gatling?
What is Locust?
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This is the best open source tool i have ever come across which does load testing at its best.
Python config code is really simple to write and good part is its extendable and there are many hooks available ... what else you need ..
Lastly, the web UI to monitor your swarming activity is too good and very helpful for identify bottlenecks and spikes real-time.