python performance testing framework - Brave Search

Locust - A modern load testing framework

An open source load testing tool. Define user behaviour with Python code, and swarm your system with millions of simultaneous users.

github.com › locustio › locust

GitHub - locustio/locust: Write scalable load tests in plain Python 🚗💨

4 days ago - Locust is an open source performance/load testing tool for HTTP and other protocols. Its developer-friendly approach lets you define your tests in regular Python code.

Starred by 27.7K users

Forked by 3.2K users

Languages Python 81.4% | TypeScript 18.0%

Discussions

Open Source Load Testing with Locust: 13 years, 60 million downloads later

Just wanted to say big thank you for working on this great tool I’ve been using Locust for some time now mainly for HA testing for our clustered application It is much more simpler than using Gatling! More on reddit.com

r/Python

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192

January 24, 2025

What tools are you using for load tests?

I have used https://k6.io/ in the past. The developer experience is good for us as we are primarily a web shop: write tests in javascript, run them locally, when ready for larger test, just change to target to cloud. We do a combination of stress tests (how many requests per second can this service/endpoint handle) and simulated user tests (login, wait 10 seconds, do a random action, loop, etc). The simulated user tests are easy enough to write because all the logic is just JavaScript, and execs like to hear "we have proven our system is ready for xxx,xxx simultaneous users load. More on reddit.com

r/ExperiencedDevs

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22

September 21, 2023

My progress so far with building a Python performance testing framework

Thanks looks promising and will have a look :) More on reddit.com

r/Python

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May 22, 2021

Performance UI Testing

Emulating 50,000 logins and user flows at a UI level seems like a ridiculous and very expensive request. UI interaction happens at a client browser level, which then just calls events and api's - you could just call the api's directly and make your life easier - so stuff like selenium at that scale woukd be inherently worse than a homebrew solution. If you don't have the hardware to do it on-prem you're going to have to do it with cloud machines, and 50,000 simultaneous tests isn't going to be cheap to run or easy to develop. You're better off using something like Jmeter or LoadRunner, running some load and performance tests and then doing some forecasting around potential bottle necks. You could also set up something with the devs to execute API calls on specific pages at a very high rate and see what happens, but again you're gonna run unto hardware constraints and the cost of cloud. I've been in software testing for 14ish years now and if someone asked me to simulate 50k users at once with UI tests I'd laugh in their face. It's just not financially viable. More on reddit.com

r/softwaretesting

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June 28, 2023

Videos

Load testing with Python and Locust by Lars Holmberg - YouTube

Python - Locust - Introduction - YouTube

Load Test Python Apps with Locust - Handle Millions of Users - YouTube

November 24, 2022

"Stress Less: Easy Database Load Testing Using Python and Locust" ...

August 10, 2024

Build a Command-Line API Performance Testing Tool with Python | ...

December 16, 2024

python code performance test - pytest benchmark - YouTube

August 15, 2024

browserstack.com › home › guide › python performance testing : a tutorial

Python Performance Testing : A Tutorial | BrowserStack

October 31, 2025 - CI/CD integration: Trigger automated performance tests from Jenkins, GitLab, CircleCI, or other CI tools commonly used in Python projects to validate performance with every build. Unified performance metrics: Monitor frontend page load times alongside backend API response durations and error rates to identify performance bottlenecks across Python web frameworks like Django, Flask, or FastAPI.

reddit.com › r/python › open source load testing with locust: 13 years, 60 million downloads later

r/Python on Reddit: Open Source Load Testing with Locust: 13 years, 60 million downloads later

January 24, 2025 -

Hi, maintainer of Locust, the popular load testing tool for Python here 👋

Recently our project turned 13 years old, got its 25,000th GitHub star AND 60 millionth download*, so I figured now might be a good time to look back a little.

In fact, I wrote a whole blog article about it. The TL;DR of it is

* Expressing load tests in Python is still much more powerful than clicking around in a GUI

* Open source is fun, messy and benefits greatly from automated testing

* We're going to do tons of new stuff going forward (AsyncIO, freethreading, extended protocol support). Let me know if you want to contribute! There's also a hosted version nowadays (Locust Cloud)

A big shout out and thanks to the almost 300 people who have contributed so far. You rock.

Let me know if you have any comments on the article or on Locust in general, happy to answer any questions :)

* The truth is that nobody knows how many times Python packages have been downloaded, due to mirrors etc, but at least this one says its 61.3M https://pepy.tech/projects/locust?timeRange=threeMonths&category=version&includeCIDownloads=true&granularity=daily&viewType=chart&versions=2.32.7.dev14%2C2.32.7.dev9%2C2.32.7.dev8

Just wanted to say big thank you for working on this great tool I’ve been using Locust for some time now mainly for HA testing for our clustered application It is much more simpler than using Gatling!

Introduced locust at my last 3 jobs, and it saved my butt each time. Thank you for sharing it.

medium.com › @nomannayeem › the-ultimate-guide-to-load-testing-with-python-from-basics-to-mastery-b5ac41f89a77

The Ultimate Guide to Load Testing with Python: From Basics to Mastery | by Nayeem Islam | Medium

September 6, 2024 - Gatling: Built for scalability, Gatling allows you to run powerful load tests while focusing on performance optimizations. Its simple DSL (domain-specific language) makes scripting easier. Locust: A Python-based load testing tool that’s perfect for simulating complex user behavior and interactions with websites or APIs.

blog.sentry.io › python-performance-testing-a-comprehensive-guide

Python Performance Testing: A Comprehensive Guide | Sentry

September 30, 2022 - This test ran for only three seconds! It spent less than a second in string, and never called list's append method. Based on the profile, the list comprehension got more work done inside built-in code and didn't rely on list or string to get the work done. So, cProfile showed us why one approach performs better than the other. We've looked at Python performance testing and a few examples of using timeit and cProfile to test and profile two code snippets.

confluence.atlassian.com › spaces › ENTERPRISE › pages › 935575100 › Atlassian+Performance+Testing+Framework

Atlassian Performance Testing Framework | Enterprise Data Center Latest | Atlassian Documentation

August 26, 2019 - Most of the Performance Testing Framework is written in Python and requires a number of Python libraries.

Find elsewhere

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blazemeter.com › blog › open-source-load-testing-tools

Choosing Your Open Source Load Testing Tools | Perforce BlazeMeter

February 4, 2026 - Python Scripting: Define user behavior using standard Python code, offering limitless customization. Distributed Testing: Supports running tests distributed across multiple machines to simulate massive loads. Web UI: Provides a real-time web interface to monitor test progress and change load parameters on the fly. Artillery is a modern, powerful, and easy-to-use load testing toolkit built with Node.js. It focuses on helping developers ship performant backend systems.

pypi.org › project › locust

Locust is an open source performance/load testing tool for HTTP and other protocols. Its developer-friendly approach lets you define your tests in regular Python code.

      » pip install locust

Published Apr 01, 2026

Version 2.43.4

testguild.com › home › blog › performance testing › best load testing tools for 2026

Best Load Testing Tools for 2026

1 week ago - The best load testing tool is the one your team will actually use. A powerful tool that collects dust because the learning curve is too steep is worth nothing. Consider your stack. Python team? Locust. Java shop? JMeter or Gatling with Java. JavaScript everywhere? k6. Robot Framework already in use?

browserstack.com › home › guide › top 15 python testing frameworks in 2025

Top 15 Python Testing Frameworks in 2025 | BrowserStack

November 13, 2025 - Seamless Selenium & Playwright Integration: Run tests using popular Python frameworks like Pytest and Unittest. Parallel Test Execution: Speed up test cycles with parallel execution across multiple environments.

stackify.com › python-load-testing-best-practices

Python Load Testing Best Practices - Stackify

May 23, 2024 - If you’re a strong Python developer, you may want to consider Locust because it has what’s known as “Test as Code” function that’s written in Python. JMeter is arguably the strongest of the two frameworks, but it’s built on Java and offers poor “Test as Code” support, which must all be written in Java to run properly.

loadninja.com › articles › open-source-load-testing

5 Open Source Load Testing Tools (and When to Go Commercial)

Developers and QA engineers incorporate lots of tests into their continuous integration and deployment workflow. While unit tests, integration tests and UI tests are commonplace, load tests are sometimes overlooked by teams that believe functional tests are enough. The problem is that application...

gamebreaking.com › posts › scenario-performance-tests

Write better load tests with Python & Locust | Gamebreaking Studios

The open source framework provides easy-to-use tooling for writing tests and executing them. One particular feature that I consider essential for performance testing is the ability to run the scripts locally as well as in a deployed environment. Locust is a Python package so having Python installed ...

innovation.alteryx.com › home › uncategorized › introducing grasshopper – an open source python library for load testing

Introducing Grasshopper – An Open Source Python Library for Load Testing – Alteryx | Innovation

April 27, 2023 - Grasshopper is a library for automated load testing, written in Python. At Alteryx, one of our objectives is to develop innovative tools and frameworks that enhance software testing abilities. As part of this mission, we have designed a user-friendly, open-source framework that enables individuals to optimize their performance testing efforts.

medium.com › @rico098098 › load-testing-with-python-fea13369af43

Load Testing with Python

June 15, 2022 - Other custom made performance testing can be made to mimic real-user behavior and gather data points like response time and latency. This can be done in any way required by you or the tester. For this article, I’ll be using a library for Python to do load testing, which is named Locust and we’ll do the testing from our local computers.

oneuptime.com › home › blog › how to build a load testing tool with locust in python

How to Build a Load Testing Tool with Locust in Python

January 21, 2026 - Locust provides a powerful, flexible framework for load testing. Key takeaways: Python-based - Tests are code you can version control · Realistic behavior - Model user journeys, not just random requests · Custom validation - Check response content, not just status codes ... Start with simple tests and evolve to comprehensive performance validation as your needs grow.

netguru.com › home page › blog › 9 recommended performance testing tools in 2025

9 Recommended Performance Testing Tools in 2025

July 15, 2025 - If an application is written in Python, it’s good to consider Locust. Keeping the same stack made our cooperation with developers easier. Locust is scalable – in comparison with Gatling and k6, distributed mode is accessible for free. To make it a bit easier to compare all the mentioned load performance testing tools and pick one the right load test tool, we put the most important information about each one in the table below.

reddit.com › r/experienceddevs › what tools are you using for load tests?

r/ExperiencedDevs on Reddit: What tools are you using for load tests?

September 21, 2023 -

Which specific tools do you rely on for load testing? Any less-known ones that have proven invaluable?

Do you prefer CLI or GUI?

Are you using paid tools? If so, is the ROI evident?

Is it integrated into your CI or otherwise run automatically?

How closely do your load tests mimic real user behaviour?

Any new/emerging tech you're exploring for load testing?

I'm beginning the process of load test architecture/planning at my company and would love to hear your thoughts.

I have used https://k6.io/ in the past. The developer experience is good for us as we are primarily a web shop: write tests in javascript, run them locally, when ready for larger test, just change to target to cloud. We do a combination of stress tests (how many requests per second can this service/endpoint handle) and simulated user tests (login, wait 10 seconds, do a random action, loop, etc). The simulated user tests are easy enough to write because all the logic is just JavaScript, and execs like to hear "we have proven our system is ready for xxx,xxx simultaneous users load.

I use Locust (written in Python). It integrates well in CI/CD pipelines, it's open source and it is quite easy to mimic real life scenarios (user logins, probability based requests, load testing, etc).

Code Like A Girl

code.likeagirl.io › performance-testing-in-python-a-step-by-step-guide-with-flask-e5a56f99513d

Performance Testing in Python: A Step-by-Step Guide with Locust | by Python Code Nemesis | Code Like A Girl

February 29, 2024 - To perform load testing, we’ll use locust. Install it using pip: ... Create a Python file named locustfile.py in the same directory as your Flask app with the following content: