LoadForge VS locust

Compare LoadForge VS locust and see what are their differences

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LoadForge

Better, cheaper load testing for websites, APIs and servers

locust

An open source load testing tool written in Python.

Landing page //
2023-01-27

Landing page //
2021-10-11

LoadForge

Website: loadforge.com
Pricing URL: Official LoadForge Pricing
$ Details: -

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locust

Website: locust.io
Pricing URL: -
$ Details

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LoadForge features and specs

Scalability
LoadForge can simulate a large number of concurrent users, which helps in testing how the system performs under stress and high traffic conditions.
Ease of Use
The platform offers a user-friendly interface that allows even non-technical users to set up and run load tests efficiently.
Integration
LoadForge integrates well with various CI/CD pipelines and other development tools, which facilitates automated testing within development workflows.
Real-time Reporting
The platform provides real-time analytics and reporting, enabling users to monitor the test progress and analyze performance bottlenecks immediately.
Cost-effectiveness
Compared to other performance testing solutions, LoadForge offers competitive pricing, making it accessible for startups and small businesses.

Possible disadvantages of LoadForge

Limited Customization
LoadForge may offer limited options for custom scripting and test scenarios compared to some advanced performance testing tools.
Resource Intensive
Running extensive load tests can be resource-intensive, potentially impacting other operations if not managed properly.
Feature Set
While suitable for general use, the platform might lack some advanced features needed by large enterprises for comprehensive performance testing.
Learning Curve
Despite being intuitive, there might still be a learning curve for new users unfamiliar with performance testing concepts and tools.
Support Limitations
Some users may experience limitations in customer support availability or response time, especially if they require immediate technical assistance.

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.

LoadForge videos

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locust videos

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Locust review - GTA Online guides

Category Popularity

0-100% (relative to LoadForge and locust)

LoadForge

locust

Monitoring Tools

30 30%

Monitoring Tools

70% 70

Website Testing

29 29%

Website Testing

71% 71

Online Services

100 100%

Online Services

0% 0

Analytics

0 0%

Analytics

100% 100

User comments

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

Social recommendations and mentions

Based on our record, locust seems to be a lot more popular than LoadForge. While we know about 61 links to locust, we've tracked only 1 mention of LoadForge. 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.

LoadForge mentions (1)

Ask HN: JMeter Alternative?
I've used LoadForge before for stress testing: https://loadforge.com I found it a good middle-ground between DIY tools like "hey" and the likes of JMeter and K6. LoadForge is really just a frontend for Locust [2]behind the scenes so all tests are written in Python which might not fit your requirement for Go/Rust, but it's affordable and quick to get started with. [1] https://github.com/rakyll/hey. - Source: Hacker News / over 3 years ago

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