Software Alternatives, Accelerators & Startups

locust VS ReadyAPI Performance

Compare locust VS ReadyAPI Performance and see what are their differences

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locust logo locust

An open source load testing tool written in Python.

ReadyAPI Performance logo ReadyAPI Performance

ReadyAPI Performance is a platform that offers Load Testing for REST and SOAP APIs, Microservices, and Databases.
  • locust Landing page
    Landing page //
    2021-10-11
  • ReadyAPI Performance Landing page
    Landing page //
    2023-09-29

locust features and specs

  • Scalability
    Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
  • Python-based
    The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
  • Web-based UI
    Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
  • Real-time monitoring
    During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
  • Open-source
    Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages of locust

  • Setup Complexity
    Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
  • Resource Intensive
    Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
  • Steeper Learning Curve
    Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
  • Limited Protocol Support
    Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
  • Dependence on External Libraries
    While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

ReadyAPI Performance features and specs

  • Comprehensive Testing
    ReadyAPI Performance offers extensive capabilities for testing APIs, including automated performance testing alongside functional, security, and virtualization within a single platform. This integration ensures thorough evaluation of API behavior under various conditions.
  • User-Friendly Interface
    The platform provides an intuitive graphical interface, making it accessible to both technical and non-technical users for creating and executing performance tests without requiring advanced coding skills.
  • Integration with Popular CI/CD Tools
    ReadyAPI Performance seamlessly integrates with continuous integration/continuous deployment (CI/CD) tools like Jenkins, Azure DevOps, and Git, facilitating automated testing and accelerated development pipelines.
  • Real-Time Analytics and Reporting
    It offers real-time analytics and dynamic reporting features that provide immediate insights into performance bottlenecks and test results, helping teams make swift data-driven decisions.
  • Support for Multiple Protocols
    The tool supports a wide range of protocols such as REST, SOAP, GraphQL, and others, enabling comprehensive performance testing across diverse API types.

Possible disadvantages of ReadyAPI Performance

  • Cost
    ReadyAPI Performance can be expensive for small businesses or individual developers, as it is a commercial product with licensing fees that might not fit all budgets.
  • Resource Intensive
    The platform might require significant system resources for running extensive performance tests, which could impact other applications if not managed properly on less powerful machines.
  • Steep Learning Curve for Advanced Features
    While ReadyAPI Performance is designed to be user-friendly, leveraging its advanced features and integrations might require a deeper learning curve and familiarity with the environment.
  • Occasional Performance Issues
    Some users have reported that the application can suffer from lags or slow performance, particularly when handling very large datasets or executing complex test scenarios.
  • Limited Community Support
    Compared to open-source solutions, ReadyAPI Performance may have less community-driven support and resources, putting more reliance on official support and documentation provided by SmartBear.

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

ReadyAPI Performance videos

No ReadyAPI Performance videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to locust and ReadyAPI Performance)
Monitoring Tools
100 100%
0% 0
Website Testing
62 62%
38% 38
Development
0 0%
100% 100
Analytics
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, locust seems to be more popular. It has been mentiond 61 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 (61)

  • 3 Types of Chaos Experiments and How To Run Them
    Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / 20 days ago
  • Outgrowing Postgres: How to identify scale problems
    Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 3 months ago
  • Five Advanced Techniques to Improve Automated Testing by 50%
    You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / 4 months ago
  • Why your FastAPI (or Flask) App performs poorly with high loads
    These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 7 months ago
  • How MySQL Tuning Can Dramatically Improve WordPress Performance
    Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 11 months ago
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ReadyAPI Performance mentions (0)

We have not tracked any mentions of ReadyAPI Performance yet. Tracking of ReadyAPI Performance recommendations started around Mar 2022.

What are some alternatives?

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

Apache JMeter - Apache JMeter™.

dotCover - JetBrains dotCover is a .NET unit test runner and code coverage tool that integrates with Visual Studio.

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

DevTest - Test management solution for efficient quality assurance

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

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