locust

Write scalable load tests in plain Python 🚗💨

Latest version: 2.32.9 registry icon
Maintenance score
100
Safety score
98
Popularity score
100
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Security
  Vulnerabilities
Version Suggest Low Medium High Critical
2.32.9 0 0 0 0 0
2.32.8 0 0 0 0 0
2.32.7 0 0 0 0 0
2.32.6 0 0 0 0 0
2.32.5 0 0 0 0 0
2.32.4 0 0 0 0 0
2.32.3 0 0 0 0 0
2.32.2 0 0 0 0 0
2.32.1 0 0 0 0 0
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2.31.8 0 0 0 0 0
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2.2.0b0 0 0 0 0 0
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1.1 0 0 1 0 0
1.0.3 0 0 1 0 0
1.0.2 0 0 1 0 0
1.0.1 0 0 1 0 0
1.0 0 0 1 0 0

Stability
Latest release:

2.32.9 - This version is safe to use because it has no known security vulnerabilities at this time. Find out if your coding project uses this component and get notified of any reported security vulnerabilities with Meterian-X Open Source Security Platform

Licensing

Maintain your licence declarations and avoid unwanted licences to protect your IP the way you intended.

MIT   -   MIT License

Not a wildcard

Not proprietary

OSI Compliant



Locust

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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.

Locust tests can be run from command line or using its web-based UI. Throughput, response times and errors can be viewed in real time and/or exported for later analysis.

You can import regular Python libraries into your tests, and with Locust's pluggable architecture it is infinitely expandable. Unlike when using most other tools, your test design will never be limited by a GUI or domain-specific language.

To get started right away, head over to the documentation.

Features

Write user test scenarios in plain old Python

If you want your users to loop, perform some conditional behaviour or do some calculations, you just use the regular programming constructs provided by Python. Locust runs every user inside its own greenlet (a lightweight process/coroutine). This enables you to write your tests like normal (blocking) Python code instead of having to use callbacks or some other mechanism. 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")

Distributed & Scalable - supports hundreds of thousands of users

Locust makes it easy to run load tests distributed over multiple machines. It is event-based (using gevent), which makes it possible for a single process to handle many thousands concurrent users. While there may be other tools that are capable of doing more requests per second on a given hardware, the low overhead of each Locust user makes it very suitable for testing highly concurrent workloads.

Web-based UI

Locust has a user friendly web interface that shows the progress of your test in real-time. You can even change the load while the test is running. It can also be run without the UI, making it easy to use for CI/CD testing.

Locust UI charts Locust UI stats Locust UI workers Locust UI start test

Can test any system

Even though Locust primarily works with web sites/services, it can be used to test almost any system or protocol. Just write a client for what you want to test, or explore some created by the community.

Hackable

Locust's code base is intentionally kept small and doesn't solve everything out of the box. Instead, we try to make it easy to adapt to any situation you may come across, using regular Python code. There is nothing stopping you from:

Links

Authors

License

Open source licensed under the MIT license (see LICENSE file for details).