Locust is an easy to use, scriptable and scalable performance testing tool. You define the behaviour of your users 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.
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")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.
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.
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.
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:
- Send real time reporting data to TimescaleDB and visualize it in Grafana
- Wrap calls to handle the peculiarities of your REST API
- Use a totally custom load shape/profile
- ...
- Website: locust.io
- Documentation: docs.locust.io
- Support/Questions: StackOverflow
- Code/issues: GitHub
- Chat/discussion: Slack (signup)
- Carl Byström (@cgbystrom on Twitter)
- Jonatan Heyman (@jonatanheyman on Twitter)
- Joakim Hamrén (@Jahaaja on Twitter)
- Hugo Heyman (@hugoheyman on Twitter)
- Lars Holmberg
Open source licensed under the MIT license (see LICENSE file for details).