locust vs Gatling.io

Struggling to choose between locust and Gatling.io? Both products offer unique advantages, making it a tough decision.

locust is a Development solution with tags like load-testing, performance-testing, web-application-testing.

It boasts features such as Distributed load testing, Scripting using Python, Simulate thousands of concurrent users, Web-based UI, CSV results output, Can test any system that has a HTTP interface and pros including Open source, Easy to use, Scalable, Good documentation, Active community support.

On the other hand, Gatling.io is a Development product tagged with load-testing, performance-testing, scalability-testing.

Its standout features include Record and playback - Record user actions and replay them to simulate load, Advanced simulation engine - Flexible scenario definition using Scala based DSL, Multiple protocols - Supports HTTP, WebSocket, JMS and more, Assertions and validations - Validate response content, status codes, timings etc, Interactive HTML reports - Detailed metrics on response time, throughput, failures etc, CLI and Maven plugin - Can integrate with CI/CD pipelines, Cloud scale testing - Integrates with Kubernetes for large scale load tests, and it shines with pros like Open source and free to use, Powerful Scala based DSL for flexible test scenarios, Good documentation and active community support, Integrates well with CI/CD pipelines, Detailed HTML reports for analysis.

Feature	locust	Gatling.io
Overall Score	1	1
Primary Category	Development	Development

Product Overview

locust

Description: Locust is an open source load and performance testing tool written in Python. It allows developers to test the performance of their web applications by simulating large numbers of concurrent users making requests.

Gatling.io

Description: Gatling.io is an open-source load and performance testing framework based on Scala, Akka and Netty. It allows users to simulate load on a system and analyze overall performance under various user loads. Gatling is used for testing APIs, microservices and web applications.

Key Features Comparison

locust Features

• Distributed load testing
• Scripting using Python
• Simulate thousands of concurrent users
• Web-based UI
• CSV results output
• Can test any system that has a HTTP interface

Gatling.io Features

• Record and playback - Record user actions and replay them to simulate load
• Advanced simulation engine - Flexible scenario definition using Scala based DSL
• Multiple protocols - Supports HTTP, WebSocket, JMS and more
• Assertions and validations - Validate response content, status codes, timings etc
• Interactive HTML reports - Detailed metrics on response time, throughput, failures etc
• CLI and Maven plugin - Can integrate with CI/CD pipelines
• Cloud scale testing - Integrates with Kubernetes for large scale load tests

Pros & Cons Analysis

locust

Pros

• Open source
• Easy to use
• Scalable
• Good documentation
• Active community support

Cons

• Only supports HTTP protocol
• Limited reporting capabilities
• Steep learning curve for advanced usage

Gatling.io

Pros

• Open source and free to use
• Powerful Scala based DSL for flexible test scenarios
• Good documentation and active community support
• Integrates well with CI/CD pipelines
• Detailed HTML reports for analysis

Cons

• Steep learning curve for Scala DSL
• Limited debugging capabilities compared to commercial tools
• Lacks some enterprise features like SLA reporting
• Not ideal for non-technical users

Pricing Comparison

locust

• Open Source

Gatling.io

• Open Source