Locust Vs Jmeter Vs Gatling

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In this article we will see difference between Locust vs Jmeter vs Gatling. Comparing Locust, JMeter, and Gatling: Choosing the Right Load Testing Tool for Your Needs.

Locust: “Locust is a Python-based, highly scalable, and event-driven load testing tool known for its simplicity and ability to simulate large numbers of concurrent users.”
JMeter: “JMeter is a widely-used Java-based performance testing tool that offers a versatile and extensible platform for load testing web applications, databases, and more.”
Gatling: “Gatling is a powerful, Scala-based load testing tool with a focus on asynchronous, event-driven architecture, providing high performance and real-time metrics for modern applications.”

Criteria	Locust	JMeter	Gatling
Language	Python	Java	Scala
Concurrency Model	Asynchronous (event-driven)	Thread-based (synchronous)	Asynchronous (event-driven)
Ease of Use	Easy to learn and write due to Python syntax	GUI-driven, may require scripting for complex scenarios	Code-driven, requires Scala familiarity
Protocol Support	HTTP, WebSocket	HTTP, HTTPS, SOAP, REST, FTP, JDBC, JMS, LDAP, SMTP, etc.	HTTP, WebSocket, Server-sent events (SSE), JMS
Scalability	Highly scalable due to asynchronous nature	May have limitations with high user loads	Scalable with good support for high loads
Community & Support	Growing community, active development	Large and established community, extensive documentation	Active community, continuous development
Reporting & Analysis	Basic HTML and CSV reports	Rich reporting with graphs and dashboards	Real-time metrics with built-in reports
Extensibility & Plugins	Supports Python libraries	Extensive library of plugins and extensions	Limited plugin support, but extensible with Scala
Customization	Highly customizable with Python	Customizable with Java and BeanShell scripting	Extensible with Scala, can create custom modules
Scripting & Recording	Code-based scripting	GUI-based recording and scripting capabilities	Code-based scripting with DSL (Domain-Specific Language)
Load Distribution	Supports distributed testing	Supports distributed testing	Supports distributed testing
Operating System	Cross-platform (Windows, macOS, Linux)	Cross-platform (Windows, macOS, Linux)	Cross-platform (Windows, macOS, Linux)
License	Open Source (MIT License)	Open Source (Apache 2.0 License)	Open Source (Apache 2.0 License)