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Reviews on G2
10 reviews tracked

The Bottom Line

Price
Free plan available, paid tiers above. Compare plans

Key facts

  • 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

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

What is Locust?

Editorial review
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

Ratings Across the Web

4.3 (10 reviews)

Locust holds an aggregate rating of 4.3 out of 5 from 10 reviews across G2, last checked September 6, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

  • Load testing
  • Python scripts
  • Distributed
  • Real-time stats
  • Web UI
  • Open source

Pricing Plans

Pricing checked Sep 30, 2026

Locust plans and prices, checked September 2026
PlanPriceDetails
Locust (Open Source) Popular

$0

Self-hosted

  • Unlimited VUs
  • Python scripting
  • Distributed testing
+2 more
  • Real-time stats
  • MIT license
Locust Cloud

Usage-based

Managed service

  • Hosted infrastructure
  • Detailed reporting
  • Easy scaling
+1 more
  • No setup

Is Locust worth the price?

Great value

Locust is an excellent free load testing tool.

Python scripting makes it developer-friendly.

Full Locust pricing: every plan, hidden costs and alternatives

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

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