Software Alternatives & Reviews

locust VS JMeter

Compare locust VS JMeter and see what are their differences

locust logo locust

An open source load testing tool written in Python.

JMeter logo JMeter

Official Twitter account of JMeter, the open source load testing tool by @TheAsf. Code: https://t.co/ADK2A8Pl14. Website: https://t.co/oc0MW2ksea
  • locust Landing page
    Landing page //
    2021-10-11
  • JMeter Landing page
    Landing page //
    2021-09-21

locust videos

Locust review - GTA Online guides

More videos:

  • Review - GTA Online: Ocelot Locust Review
  • Review - GTA 5 - DLC Vehicle Customization - Ocelot Locust and Review

JMeter videos

Load Testing Using JMeter | Performance Testing With JMeter | JMeter Tutorial | Edureka

More videos:

  • Review - JMeter 4.0: Introduction to JMeter
  • Review - Stress Testing Using JMeter | Website Stress Testing | Software Testing Training | Edureka

Category Popularity

0-100% (relative to locust and JMeter)
Monitoring Tools
55 55%
45% 45
Website Testing
54 54%
46% 46
Analytics
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare locust and JMeter

locust Reviews

We have no reviews of locust yet.
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JMeter Reviews

15 BEST SoapUI Alternatives (2022 Update)
JMeter is used for functional API testing which includes needed to test an API. This alternative to SoapUI also has features which help to boost the performance of API testing.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, locust should be more popular than JMeter. It has been mentiond 55 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

locust mentions (55)

  • Why Quarkus Native (probably) does not fit your project
    Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / about 2 months ago
  • What is Load Testing? Complete Tutorial With Best Practices
    Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 2 months ago
  • API Load Testing: Enhance Your Skills with Locust
    Locust is a perfect tool to use on such occasion:. - Source: dev.to / 2 months ago
  • Breaking the 300 barrier
    So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 2 months ago
  • The Power of Traces: Learn by Contributing to OpenTelemetry
    The OpenTelemetry Demo is composed of microservices written in different programming languages that talk to each other over gRPC and HTTP; and a load generator which uses Locust to fake user traffic. - Source: dev.to / 6 months ago
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JMeter mentions (32)

  • Ask HN: What are you using for load testing?
    Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test. I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/). I've been using Artillery, but it's hard to visualize the results. What do you use? - Source: Hacker News / 12 days ago
  • What is Load Testing? Complete Tutorial With Best Practices
    Apache JMeter: This tool is an open-source application built on Java, designed specifically to test load functionality and performance. Developed by the Apache Software Foundation, JMeter is versatile, able to simulate loads across a wide range of services and protocols such as HTTP, HTTPS, JDBC, LDAP, and SOAP. With an extensible core that can be tailored with plugins, it provides the flexibility needed for... - Source: dev.to / 2 months ago
  • ssd + cpu vs nvme + premium cpu - benchmark results for wordpress
    Thanks for the tip. Hows that compare to this tool? https://jmeter.apache.org/. Source: 5 months ago
  • Mastering API Stress Testing With JMeter’s HTTP(S) Test Script Recorder And Postman Proxy
    Apache JMeter: Download and install JMeter from the official website (https://jmeter.apache.org/). Java Development Kit (JDK): JMeter requires Java, so ensure you have the latest JDK installed on your system. Postman: Install Postman from the official website (https://www.postman.com/downloads/). - Source: dev.to / 6 months ago
  • GC, hands off my data!
    The test scenario consists of querying for descriptions of different offers. During the test, I will collect data on memory and GC parameters using jConsole. I will run the test scenario using jMeter, which additionally will allow me to measure response times. - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing locust and JMeter, you can also consider the following products

Apache JMeter - Apache JMeter™.

WebLOAD - WebLOAD - The most flexible and cost effective software for enterprise load, stress and performance testing, integrated with DevOps processes. Click for details

Loader.io - Loader.io is a simple cloud-based load testing service

OctoPerf - OctoPerf is a SaaS load testing solution, based on JMeter.

gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty

StresStimulus - Load testing tool for websites and mobile that works with hard-to-test applications.