Skip to main content

Developer friendly load testing framework

Project description

Locust

PyPI PyPI Build Status license GitHub contributors Support Ukraine Badge

Locust is an easy to use, scriptable and scalable performance testing tool. You define your load test in regular Python code, instead of being constrained by a UI or domain specific language that only pretends to be real code. This makes Locust infinitely expandable and very developer friendly.

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).

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

locust-2.18.3.dev3.tar.gz (2.2 MB view details)

Uploaded Source

Built Distribution

locust-2.18.3.dev3-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file locust-2.18.3.dev3.tar.gz.

File metadata

  • Download URL: locust-2.18.3.dev3.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for locust-2.18.3.dev3.tar.gz
Algorithm Hash digest
SHA256 3add24754b6c0cd010bc72e5037112dd3e7dcad913c17556270a9e1229d8074f
MD5 e543b9a2630d32c45d2d134cf8bf1765
BLAKE2b-256 404f604dde6655e4fc84d814dc35700fd5cafdf46326bf3b0d2c616b52fde30b

See more details on using hashes here.

Provenance

File details

Details for the file locust-2.18.3.dev3-py3-none-any.whl.

File metadata

File hashes

Hashes for locust-2.18.3.dev3-py3-none-any.whl
Algorithm Hash digest
SHA256 156278667a0f396bdb6899455c85dd1a5530b7055b2f66429144fc9ac1d35d56
MD5 e6ef4e750f3449ab65ae44322dc40a4d
BLAKE2b-256 e2c3c8639bf3246b3ead05d30fbd14dcdcbbf0ccd3c1f9ee4efdb5707b1bb3c6

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page