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

Load Impact vs Locust

OverviewDecisionsComparisonAlternatives

Overview

Locust
Locust
Stacks191
Followers317
Votes51
GitHub Stars27.0K
Forks3.1K
Load Impact
Load Impact
Stacks3
Followers9
Votes0

Locust vs Load Impact: What are the differences?

Locust: 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; Load Impact: Performance testing platform for developers. It is performance testing platform brings performance testing to the developer’s turf. Developers of all skill levels are able to easily pick up manual testing with it and simply transition to the more modern principles of DevOps and performance testing automation.

Locust and Load Impact can be primarily classified as "Load and Performance Testing" tools.

Some of the features offered by Locust are:

  • Define user behaviour in code
  • Distributed & scalable
  • Proven & battle tested

On the other hand, Load Impact provides the following key features:

  • Server monitoring
  • Test scheduling and automation
  • Performance trending

Locust is an open source tool with 10.9K GitHub stars and 1.57K GitHub forks. Here's a link to Locust's open source repository on GitHub.

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Advice on Locust, Load Impact

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

Detailed Comparison

Locust
Locust
Load Impact
Load Impact

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 performance testing platform brings performance testing to the developer’s turf. Developers of all skill levels are able to easily pick up manual testing with it and simply transition to the more modern principles of DevOps and performance testing automation.

Define user behaviour in code;Distributed & scalable;Proven & battle tested
Server monitoring; Test scheduling and automation; Performance trending; Notifications; User scenario recorders; Realistic simulated users; Simultaneous multi-geo load generation; Automatic and advanced scripting; Command line interface; Parameterized data upload
Statistics
GitHub Stars
27.0K
GitHub Stars
-
GitHub Forks
3.1K
GitHub Forks
-
Stacks
191
Stacks
3
Followers
317
Followers
9
Votes
51
Votes
0
Pros & Cons
Pros
  • 15
    Hackable
  • 11
    Supports distributed
  • 7
    Open source
  • 6
    Easy to setup
  • 6
    Easy to use
Cons
  • 1
    Bad design
No community feedback yet
Integrations
Python
Python
GitLab
GitLab
CircleCI
CircleCI
Jenkins
Jenkins
TeamCity
TeamCity
Azure Pipelines
Azure Pipelines

What are some alternatives to Locust, Load Impact?

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.

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

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