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locust VS LoadView

Compare locust VS LoadView and see what are their differences

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locust logo locust

An open source load testing tool written in Python.

LoadView logo LoadView

LoadView is a cloud-based load testing platform that allows users to stress-test their websites and web apps to know their performance level.
  • locust Landing page
    Landing page //
    2021-10-11
  • LoadView Landing page
    Landing page //
    2023-10-21

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.

LoadView features and specs

  • Real Browser Testing
    LoadView allows testing with real browsers, providing accurate performance insights by simulating real user interactions.
  • Comprehensive Performance Metrics
    It offers detailed metrics and analytics that help in identifying bottlenecks and areas for improvement, enhancing performance optimization efforts.
  • Scalability
    LoadView can simulate thousands of users at once, making it suitable for testing applications that need to handle heavy traffic loads.
  • Easy Setup and Configuration
    The platform is designed to be user-friendly, with straightforward setup processes that allow users to start tests quickly without extensive technical knowledge.
  • Global Reach
    Users can test their applications from various geographic regions around the world, enabling assessment of performance for global audiences.

Possible disadvantages of LoadView

  • Cost
    LoadView can be pricey, especially for small businesses or startups, as it operates on a pay-as-you-go pricing model, which can become expensive with extensive testing.
  • Steeper Learning Curve for Advanced Features
    While basic setup is easy, leveraging advanced features may require more in-depth learning and expertise.
  • Limited Free Trial
    The free trial period might be too short or limited to fully evaluate the service's capabilities and fit for specific requirements.
  • Resource Intensive
    Tests can be resource-intensive and may require robust infrastructure on the user’s end, especially when simulating large numbers of concurrent users.

Analysis of locust

Overall verdict

  • Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.

Why this product is good

  • Locust (locust.io) is considered a good tool for load testing due to its easy-to-use, scalable, and distributed nature. Written in Python, it allows developers to write simple or complex test scenarios in the same language. It enables the simulation of millions of users by distributing tasks across multiple machines, making it highly valuable for performance testing of websites and applications. The web-based user interface is another advantage, allowing real-time monitoring of test progress and results.

Recommended for

  • Development teams looking for a scalable load testing tool.
  • Organizations that prefer open-source solutions.
  • Projects requiring custom test scenarios in Python.
  • Teams needing real-time monitoring and distributed testing capabilities.

locust videos

+ Add

Locust review - GTA Online guides

More videos:

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

LoadView videos

+ Add

What is Load Testing? | Load Testing with LoadView

More videos:

  • Tutorial - JMeter Load Testing | JMeter Performance Testing | Load Testing Tutorial Using JMeter | LoadView
  • Review - LoadView: Setting Up a Load Step Curve Stress Test

Category Popularity

0-100% (relative to locust and LoadView)

locust

LoadView

Monitoring Tools
72 72%
Monitoring Tools
28% 28
Website Testing
74 74%
Website Testing
26% 26
Analytics
100 100%
Analytics
0% 0
Development
0 0%
Development
100% 100

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 / about 1 month 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 / 4 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 / 5 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 / 8 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
View more

LoadView mentions (0)

We have not tracked any mentions of LoadView yet. Tracking of LoadView recommendations started around Mar 2021.

What are some alternatives?

When comparing locust and LoadView, 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

LoadComplete - The only load testing tool to record, replay, and test in real browsers at scale.

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

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

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