This user will make an HTTP request to /hello, then to /world, and then repeat. For a full explanation and a more realistic example see Writing a locustfile.

4 days ago - Because your scenarios are “just python” you can use your regular IDE, and version control your tests as regular code (as opposed to some other tools that use XML or binary formats) from locust import HttpUser, task, between class QuickstartUser(HttpUser): wait_time = between(1, 2) def on_start(self): self.client.post("/login", json={"username":"foo", "password":"bar"}) @task def hello_world(self): self.client.get("/hello") self.client.get("/world") @task(3) def view_item(self): for item_id in range(10): self.client.get(f"/item?id={item_id}", name="/item")

July 20, 2021 - In this article, we’ll learn how to use Locust.io in Python to do load testing.

November 18, 2021 - Learn how to start testing using Locust and Python. Plus, get a step-by-step overview of how to correlate valuables and assert your script.

March 13, 2024 - In this article, we are going to have a look at how to set up Locust in your local environment and create your very first basic load test. ... Gevent. Gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv ...

A locust file is just a normal Python module, it can import code from other files or packages. ... Here we define a class for the users that we will be simulating. It inherits from HttpUser which gives each user a client attribute, which is an instance of HttpSession, that can be used to make ...

Define user behaviour with Python code, and swarm your system with millions of simultaneous users. ... No need for clunky UIs or bloated XML. Just plain code. Locust supports running load tests distributed over multiple machines, and can therefore be used to simulate millions of simultaneous users

December 26, 2025 - As you can see, this is a regular Python module that can import data from other files and packages. Define the QuickstartUser class for modeling user behavior, which is inherited from HttpUser that gives the user a client attribute. The attribute can be used to make HTTP requests: it is basically an HTTP client that saves user sessions between requests. When running the test, Locust creates an instance of the class for each user it simulates and starts each one in a separate thread.

Locust is a potent tool in every developer's toolbox for efficient load testing. With this free, open-source Python programme, you can simulate millions of concurrent users and describe user behaviour using Python code.

January 29, 2026 - This article provides the process to perform load testing on a Python chat application by using the Retrieval Augmented Generation (RAG) pattern with Locust, a popular open-source load testing tool. The primary objective of load testing is to ensure that the expected load on your chat application ...

April 28, 2025 - Start locust: To run the above code, create a Python file named locustfile.py, and open the terminal in the directory of the above created file.

October 10, 2021 - Section-1 : you will learn the basic concept of locust and standard features. a. Setup development environment b. Explanation of User, TaskSet and Sequential TaskSet c. Explanation on_test_start, on_test_stop, on_start, on_stop d. REST execution using locust HTTPUser class Section-2 : you will learn how to use locust to create a concrete performance test framework to perform load and stress testing on your application under test, you will also learn how to integrate with InfluxDB and Grafana for better performance data analysis. a. Abstract HTTPUser class and usage b. TaskSet Modules and User

June 4, 2024 - This article explains how to use Locust.io in Python to do load testing. It covers several fundamental use cases of Locust, from the simple one to a bit more advanced one. Locust gives you some flexibility to write your own test based on your use case.

February 22, 2024 - Locust is an open-source tool for running distributed load tests based on plain Python scripts, making an exceptional solution, especially for CI/CD integration. Find out more and how to get started with Locus in this tutorial.

Learn more about how to use locust, based on locust code examples created from the most popular ways it is used in public projects

An example of using [Locust](https://locust.io/) for load testing. - janneri/locust-tutorial

January 24, 2018 - Running our locust container is similar to the process we used for our example server. Once again we can either pull or build the container image. To build run the following: ... This builds the Dockerfile located in our docker directory. That file consists of: # Start with a base Python 2.7.13 image FROM python:2.7.13MAINTAINER Beau Lyddon <beau.lyddon@realkinetic.com># Add the external tasks directory into /locust-tasks RUN mkdir locust-tasks ADD locust-tasks /locust-tasks WORKDIR /locust-tasks# Install the required dependencies via pip RUN pip install -r /locust-tasks/requirements.txt# Set script to be executable RUN chmod 755 run.sh# Expose the required Locust ports EXPOSE 5557 5558 8089# Start Locust using LOCUS_OPTS environment variable ENTRYPOINT ["./run.sh"]

Here we define a number of Locust tasks, which are normal Python callables that take one argument (a Locust class instance). These tasks are gathered under a TaskSet class in the tasks attribute.

August 16, 2024 - That is what we are doing in this article. We will be creating our own Postgres client in order to stress test a database instead of just the application, of which, the database is connected. Let’s first introduce you to Locust and some of the things it can do out of the box.

Once you run this command, the test will start immediately, and start logging output. It should run for the duration you run the test, and hitting ctrl+c may orphan some locusts.