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locust VS Hey Load Generator

Compare locust VS Hey Load Generator and see what are their differences

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Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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locust logo locust

An open source load testing tool written in Python.

Hey Load Generator logo Hey Load Generator

HTTP load generator, ApacheBench (ab) replacement, formerly known as rakyll/boom
  • locust Landing page
    Landing page //
    2021-10-11
  • Hey Load Generator Landing page
    Landing page //
    2023-10-14

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.

Hey Load Generator features and specs

  • Ease of Use
    Hey is a simple, CLI-based load generator, making it easy to install and use without the need for complex setup or configuration. It's straightforward for developers to run basic load tests with minimal effort.
  • Lightweight
    Hey is a lightweight offering compared to more comprehensive tools, focusing on simplicity and performance with low overhead, which makes it suitable for quick tests.
  • Suitable for Small Tests
    For small to medium-scale load tests, Hey can perform efficiently, helping teams test scenarios without needing advanced capabilities.
  • Written in Go
    Being written in Go, Hey benefits from the language's concurrency support and performance efficiency, leading to fast and reliable test execution.

Possible disadvantages of Hey Load Generator

  • Limited Features
    Hey offers basic load testing capabilities, lacking the advanced features and functionalities of other tools, making it less suitable for comprehensive testing scenarios.
  • Single Endpoint Focus
    Hey is typically used for testing single HTTP endpoints, which limits its ability to simulate complex user interactions across multiple endpoints.
  • Scalability Constraints
    While effective for smaller tests, Hey may struggle with scaling to handle large or complex loads compared to more robust load testing tools.
  • Lack of GUI
    Hey operates solely as a command-line tool, offering no graphical user interface, which may be challenging for users who are not comfortable with a CLI.

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

Hey Load Generator videos

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Category Popularity

0-100% (relative to locust and Hey Load Generator)

locust

Hey Load Generator

Monitoring Tools
88 88%
Monitoring Tools
12% 12
Load Generator
0 0%
Load Generator
100% 100
Website Testing
100 100%
Website Testing
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, locust should be more popular than Hey Load Generator. 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
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Hey Load Generator mentions (28)

  • Amazon DevOps Guru for the Serverless applications - Part 12 Anomaly detection on Lambda consuming from DynamoDB Streams
    We can reproduce the failure with curl or hey tool, so that we have many failed UpdateProduct Lambda functions. - Source: dev.to / 8 months ago
  • Amazon DevOps Guru for the Serverless applications - Part 11 Anomaly detection on SNS (kind of)
    Then I sent several hundreds create product requests via the hey tool like :. - Source: dev.to / 12 months ago
  • Amazon DevOps Guru for the Serverless applications - Part 10 Anomaly detection on Aurora Serverless v2
    As in the previous article we use hey tool to perform the load test like this. - Source: dev.to / about 1 year ago
  • AWS SnapStart - Part 19 Measuring cold starts and deployment time with Java 17 using different Lambda memory settings
    The results of the experiment below were based on reproducing approximately 100 cold starts for the duration of our experiment which ran for approximately 1 hour. For it (and all experiments from my previous articles) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. - Source: dev.to / about 1 year ago
  • Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 5 Basic cold and warm starts measurements
    The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but... - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing locust and Hey Load Generator, you can also consider the following products

Apache JMeter - Apache JMeter™.

Mapoji - Discuss anything with locals right on map.

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

Appvance - The Appvance Unified Test Platform is the Fastest Way to Test.

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

k6 Cloud - Managed load testing service built on top of the popular open-source project k6.

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