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OProfile VS locust

Compare OProfile VS locust and see what are their differences

LiveSession
LiveSession helps you analyze users’ behavior, improve UX, find JS bugs, and increase conversion rates using session replays, and event-based product analytics. featured
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Contents:
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  3. » Reviews
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OProfile logo OProfile

OProfile is an open source project that includes a statistical profiler, capable of profiling all running code at low overhead.

locust logo locust

An open source load testing tool written in Python.
  • OProfile Landing page
    Landing page //
    2023-10-10
  • locust Landing page
    Landing page //
    2021-10-11

OProfile features and specs

No features have been listed yet.

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.

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.

OProfile videos

+ Add

Snapdragon Performance Visualizer Tutorial on OProfile

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

Category Popularity

0-100% (relative to OProfile and locust)

OProfile

locust

Software Development
100 100%
Software Development
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Resource Profiling And Monitoring
100 100%
Resource Profiling And Monitoring
0% 0
Website Testing
0 0%
Website Testing
100% 100

User comments

Share your experience with using OProfile and locust. For example, how are they different and which one is better?
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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.

OProfile mentions (0)

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

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

What are some alternatives?

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

VisualVM - VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...

Apache JMeter - Apache JMeter™.

Glimpse for C# - The open source diagnostics platform for the web. Contribute to Glimpse/Glimpse development by creating an account on GitHub.

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

Kcachegrind - Callgrind is a profiling tool and KCachegrind is able to visualize output of the profilers.

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

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