StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. Gatling vs Locust

Gatling vs Locust

OverviewDecisionsComparisonAlternatives

Overview

Gatling
Gatling
Stacks244
Followers318
Votes21
GitHub Stars6.8K
Forks1.2K
Locust
Locust
Stacks191
Followers317
Votes51
GitHub Stars27.0K
Forks3.1K

Gatling vs Locust: What are the differences?

  1. Key Difference 1: Performance Testing Tool Comparison: Gatling is a leading open-source load and performance testing tool developed using Scala with a strong focus on asynchronous, non-blocking processing. On the other hand, Locust is also an open-source performance testing tool, but it is written in Python and emphasizes simplicity and flexibility.
  2. Key Difference 2: Language and Support: Gatling is primarily based on Scala, a programming language widely used in the industry. It has an active and supportive community that contributes to its development and provides solutions. In contrast, Locust is based on Python, which is also a widely adopted language, but it has a smaller community and may have limited support and resources compared to Gatling.
  3. Key Difference 3: Testing Paradigm: Gatling uses an event-driven, simulations-based approach where users define scenarios using a Domain-Specific Language (DSL) for writing simulations, allowing for more precise control over the test flow. Locust, on the other hand, uses an imperative approach, allowing users to define the test flow directly in Python code.
  4. Key Difference 4: Modularity and Extensibility: Gatling provides a modular and extensible architecture, allowing users to create custom components and plugins to extend its capabilities as per their requirements. In contrast, Locust offers limited modularity and extensibility options compared to Gatling, which might restrict its customization possibilities.
  5. Key Difference 5: Real-time Monitoring and Reporting: Gatling offers comprehensive real-time monitoring and reporting features, including intuitive and detailed graphical representations, enabling users to analyze test results effectively. Locust, while providing basic monitoring and reporting, may not provide the same level of detailed graphical analysis as Gatling.
  6. Key Difference 6: Maturity and Enterprise Support: Gatling has been in the market for a longer time and is well-established, often used for enterprise-grade performance testing. It has a dedicated support team and offers enterprise support services. Locust, being relatively newer, may have limited enterprise support options and might be more suitable for smaller-scale performance testing projects.

In Summary, Gatling and Locust differ in the programming language, testing paradigm, modularization, real-time monitoring, maturity, and enterprise support, making them suitable for different user preferences and testing needs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Gatling, Locust

Rashmi
Rashmi

Mar 17, 2021

Needs adviceonJenkinsJenkinsGatlingGatlingLocustLocust

I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

104k views104k
Comments
Vrashab
Vrashab

QA at Altair

Jun 23, 2020

Needs adviceonGatlingGatlingLocustLocustFlood IOFlood IO

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

142k views142k
Comments
Aravinth
Aravinth

SSE

Nov 19, 2019

Needs advice

I want to do performance testing with HTTP protocol but the test script should be java script. For now, I kept "Artillery" and "K6" tools in my queue. Did you guys have any idea about this? Is there any tools which support Test script language: JavaScript Protocol: Http/web service Must Feature: Record OS: Mac os/windows

84.4k views84.4k
Comments

Detailed Comparison

Gatling
Gatling
Locust
Locust

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.

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.

Simulating heavy traffic; Load testing as code for CI/CD integration & automation; API Load testing; Automated deployment of load injectors; Response times reports
Define user behaviour in code;Distributed & scalable;Proven & battle tested
Statistics
GitHub Stars
6.8K
GitHub Stars
27.0K
GitHub Forks
1.2K
GitHub Forks
3.1K
Stacks
244
Stacks
191
Followers
318
Followers
317
Votes
21
Votes
51
Pros & Cons
Pros
  • 6
    Great detailed reports
  • 5
    Can run in cluster mode
  • 5
    Loadrunner
  • 3
    Scala based
  • 2
    Load test as code
Cons
  • 2
    Steep Learning Curve
  • 1
    Hard to test non-supported protocols
  • 0
    Not distributed
Pros
  • 15
    Hackable
  • 11
    Supports distributed
  • 7
    Open source
  • 6
    Easy to setup
  • 6
    Easy to use
Cons
  • 1
    Bad design
Integrations
No integrations available
Python
Python

What are some alternatives to Gatling, Locust?

k6

k6

It is a developer centric open source load testing tool for testing the performance of your backend infrastructure. It’s built with Go and JavaScript to integrate well into your development workflow.

Loader.io

Loader.io

Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.

BlazeMeter

BlazeMeter

Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.<br>

Apache JMeter

Apache JMeter

It is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions.

RedLine13

RedLine13

It is a load testing platform that brings the low cost power of the cloud to JMeter and other open source load testing tools.

AWS Device Farm

AWS Device Farm

Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.

Flood IO

Flood IO

Performance testing with Flood increases customer satisfaction and confidence in your production apps and reduces business risk.

Blitz

Blitz

Build bulletproof, scalable solutions with Blitz - a simple and fun service for load testing web apps and APIs in the cloud. Blitz offers powerful yet simple capabilities including continuous monitoring, performance testing and remediation. Blitz enables you to instantly burst up to 50,000 concurrent users against your app in seconds from multiple points of presence around the world.

LoadNinja

LoadNinja

It is  a  cloud-based platform for engineers and performance professionals who load test web applications. It makes load testing simple and fast. Test your website and web apps on real browsers, in the cloud, without the need for dynamic correlation.

Artillery

Artillery

It is a modern, open-source, powerful & easy-to-use performance testing toolkit. Use it to ship scalable applications that stay performant & resilient under high load. It prioritizes developer productivity and happiness and follows the “batteries-included” philosophy.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope