Load test with Python code, scale easily
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10 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Python load testing
Biggest con
Python knowledge needed
TL;DR - Locust
- Locust is an open-source load testing tool written in Python
- It simulates millions of users with code-based test scenarios
- Completely free and open-source
Pricing: Free plan available
Best for: Growing teams
4.3/5 across review platforms
What is Locust?
Locust tests system performance with Python. Write test scenarios as code, run distributed load-performance testing that feels like programming.
The Python interface is natural. The distribution scales. The metrics are detailed.
Developers wanting load testing in Python choose Locust for code-based performance tests.
Available on: Web, macOS, Linux, Windows
Pros & Cons
Pros
- Python load testing
- Easy to write tests
- Good UI
- Open source
- Distributed testing
Cons
- Python knowledge needed
- Resource intensive
- Limited protocol support
- Reporting basic
- Alternatives exist
Ratings Across the Web
4.3(10 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Load testingPython scriptsDistributedReal-time statsWeb UIOpen source
Pricing Plans
Pricing checked Jul 11, 2026
Most Popular
Locust (Open Source)
Free
Self-hosted
- Unlimited VUs
- Python scripting
- Distributed testing
- Real-time stats
- MIT license
Locust Cloud
Usage-based
Managed service
- Hosted infrastructure
- Detailed reporting
- Easy scaling
- No setup
Reviews
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4.3/5
Across 10 verified user reviews on G2
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Locust FAQ
How does Locust facilitate performance testing for developers?
Locust allows developers to write load test scenarios directly in Python code, making the testing process feel like programming. This enables distributed load-performance testing with a natural Python interface.
Which teams would benefit most from using Locust?
Teams with Python proficiency, particularly those focused on Testing & QA or Developer Tools, would find Locust most beneficial. It is designed for developers who prefer to define performance tests through code.
What kind of limitations should users be aware of when considering Locust?
Users should note that Locust requires Python knowledge to write tests and can be resource-intensive during operation. Its protocol support is limited, and its reporting features are considered basic.
How does Locust compare to k6 for load testing?
Locust differentiates itself from tools like k6 by allowing users to write test scenarios entirely in Python code. This provides a Python-native approach to load testing, whereas k6 uses JavaScript for scripting.
Can Locust handle large-scale distributed load tests?
Yes, Locust is designed for distributed testing and can scale easily to handle significant load. Its architecture supports running performance tests across multiple machines.
How is Locust priced?
Locust is available on a free tier, offering core functionalities for users. For those requiring more extensive usage or additional features, paid plans are available.
Does Locust provide detailed metrics for performance analysis?
Locust does provide detailed metrics, which are accessible through its good UI. These metrics help users understand the performance characteristics of their systems under load.
Source: locust.io