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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. Locust vs k6

Locust vs k6

OverviewDecisionsComparisonAlternatives

Overview

Locust
Locust
Stacks191
Followers317
Votes51
GitHub Stars27.0K
Forks3.1K
k6
k6
Stacks257
Followers226
Votes56

Locust vs k6: What are the differences?

Locust and k6 are both popular open-source load testing tools used for testing the performance and scalability of web applications. While they share some similarities, there are key differences between Locust and k6 that make each tool unique in its own way.

  1. Programming Language: One of the major differences between Locust and k6 is the programming language they are written in. Locust is written in Python, making it more accessible to developers with Python expertise. On the other hand, k6 is written in JavaScript, which can be advantageous for developers who prefer working with JavaScript or have existing JavaScript codebases.

  2. Architecture: The architecture of Locust and k6 also differs. Locust follows a distributed master-worker architecture, where a master node distributes tasks to multiple worker nodes. This architecture allows for distributed load testing across different machines. On the other hand, k6 follows a single-process architecture, where it runs on a single machine, utilizing all available CPU cores efficiently.

  3. Scripting Approach: Locust and k6 have different approaches to scripting load tests. Locust uses an imperative approach, where the test scripts are written as classes and methods to define user behavior and task execution. On the other hand, k6 uses a declarative approach, where the test scripts are written using JavaScript modules and functions to define HTTP requests and scenarios.

  4. Metrics and Reporting: The way Locust and k6 handle metrics and reporting also differs. Locust provides a basic web UI for monitoring and reporting test results, which can be extended using custom code. In contrast, k6 offers an extensive set of built-in metrics and a powerful console output for live monitoring during the test. It also supports exporting test results to various formats like JSON, InfluxDB, and Grafana.

  5. Integration and Extensibility: Both Locust and k6 support integrations with various external tools and services, but their approaches differ. Locust provides a wide range of official and community-supported integrations, including popular tools like Jenkins, Slack, and Grafana. On the other hand, k6 offers a rich JavaScript API and extensibility through modules, allowing users to integrate with any system or service using JavaScript libraries and frameworks.

  6. Ease of Use: The ease of use of Locust and k6 also varies. Locust, being written in Python, appeals to developers familiar with Python and offers a more Pythonic API. However, developers without Python experience may find the learning curve steeper. In comparison, k6's JavaScript-based scripting and its modern syntax make it more approachable for developers with JavaScript experience and those from web development backgrounds.

In summary, Choose Locust for Python expertise, distributed testing, and custom reporting, while k6 shines for JavaScript familiarity, single-machine efficiency, and rich built-in metrics. Both offer unique strengths for different testing needs.

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Advice on Locust, k6

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

Locust
Locust
k6
k6

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.

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.

Define user behaviour in code;Distributed & scalable;Proven & battle tested
Written in Go and JavaScript, built to integrate well into the modern developer workflow and automation pipelines; Primarily for load testing, it also works for functional testing of APIs and microservices with its powerful JS ES6 based scripting API; Straightforward CLI, sharing many UX aspects with the DevOps tools you already use
Statistics
GitHub Stars
27.0K
GitHub Stars
-
GitHub Forks
3.1K
GitHub Forks
-
Stacks
191
Stacks
257
Followers
317
Followers
226
Votes
51
Votes
56
Pros & Cons
Pros
  • 15
    Hackable
  • 11
    Supports distributed
  • 7
    Open source
  • 6
    Easy to setup
  • 6
    Easy to use
Cons
  • 1
    Bad design
Pros
  • 13
    Fits nicely in a CI workflow
  • 11
    It's code-first
  • 11
    Open-source
  • 11
    Test scripts are written in javascript
  • 10
    Easy to use
Cons
  • 3
    Requires bundling and transpiling to use npm packages
Integrations
Python
Python
Kafka
Kafka
Linux
Linux
Grafana
Grafana
InfluxDB
InfluxDB
macOS
macOS
Datadog
Datadog
Debian
Debian
Windows
Windows
JSON
JSON

What are some alternatives to Locust, k6?

Gatling

Gatling

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.

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.

Soundkit

Soundkit

Voice agent QA for teams who can't afford broken calls, compliance gaps, or production failures. Simulate thousands of conversations, validate legal

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.

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