Software Alternatives, Accelerators & Startups

Loadster VS testRigor

Compare Loadster VS testRigor and see what are their differences

Loadster logo Loadster

Loadster is a full-featured load testing solution for websites, web apps, and web services.

testRigor logo testRigor

Use plain English to build stable and maintainable functional end-to-end tests.
  • Loadster Landing page
    Landing page //
    2023-03-12
  • testRigor Landing page
    Landing page //
    2021-10-18

testRigor

$ Details
freemium
Platforms
Browser Android iOS Web Windows Mac OSX Linux Google Chrome iPhone Windows Phone Safari

Loadster videos

Review Cargobike Citkar Loadster: 4 Räder, 400 kg zulässiges Gesamtgewicht - kann das gut gehen?

testRigor videos

Upgrade's Testimonial

More videos:

  • Review - TestRigor discovering new functionality automatically
  • Tutorial - How to use TestRigor to test your website or mobile app
  • Review - Fun with Regular Expressions and testRigor (Part 1 of 2)

Category Popularity

0-100% (relative to Loadster and testRigor)
Monitoring Tools
100 100%
0% 0
Automated Testing
0 0%
100% 100
Website Testing
60 60%
40% 40
Online Services
100 100%
0% 0

User comments

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What are some alternatives?

When comparing Loadster and testRigor, you can also consider the following products

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

mabl - The #1 AI-Native Test Automation Platform

LoadFocus - Cloud Testing Infrastructure | Cloud Testing Services and Tools for Websites & APIs.

Testim - Stable, self-healing, end-to-end test automation via machine learning. Testim helps accelerate the delivery of high-quality software. Speed up test-authoring and improve the stability of automated, end-to-end tests.

LoadUIWeb - LoadUIWeb is a free desktop tool for performance, stress, scalability and load testing of web...

Functionize - Functionize combines natural language processing, deep-learning ML models and other AI-based technologies to empower your team to build tests faster that don’t break and run at scale in the cloud.