# Goose

> Goose is an open source, self-hosted load testing tool from Tag1 Consulting, scripted in Rust.

- Canonical: https://perf.jmeter.ai/tools/goose/
- Official: https://github.com/tag1consulting/goose
- Source: https://github.com/tag1consulting/goose
- Vendor: Tag1 Consulting
- Category: Load Testing
- License: Open Source — Free; GPL-3.0 license.
- Deployment: Self-hosted
- Status: Active
- Scripting: Rust
- Protocols: HTTP, HTTPS
- OS support: Windows, macOS, Linux
- First released: 2020
- Latest release: 0.18.1 (The Docs.rs page for version 0.18.1 does not provide a specific release date.)
- Last verified: 2026-08-11

## What it is
Goose lets developers write load test behaviors in Rust and run them across distributed workers. It is suited to HTTP workloads requiring custom client logic.

## Choose it when
- Load Testing scenarios across typical web and service stacks
- Teams that prefer open-source licensing and self-hosting options
- Groups comfortable scripting in Rust

## Look elsewhere when
- Teams unwilling to operate generators, results storage, and scaling

## Architecture
Goose is commonly operated as self-hosted software with scenario authoring in Rust. Concurrency and distribution depend on how you size workers or injectors.

## Pricing
Open source (Apache License 2.0)

## Compare
- [Goose alternatives](https://perf.jmeter.ai/alternatives/goose/)

## FAQ
### Who is Goose for?
Goose is best for engineers designing load, stress, and performance tests for web and service systems. It is open source, so teams can self-host and extend it. Vendor: Tag1 Consulting. Deployment model: self-hosted. Free; GPL-3.0 license. Confirm details against the official site and a short proof-of-concept in your environment.

### How does Goose differ from Apache JMeter?
Compared with Apache JMeter, scripting centers on Rust rather than Java, Groovy. Goose lists protocols HTTP, HTTPS; Apache JMeter lists HTTP, HTTPS, JDBC, JMS, FTP, TCP. Status is active versus active. Use the Test Rig to compare full specs side by side before a proof-of-concept.

### What scripting language and concurrency model does Goose use?
Goose uses Rust for scripting or scenario definition. Runtime model: code-first scenarios where virtual users execute scripted behavior under load. OS support: Windows, macOS, Linux. Protocols: HTTP, HTTPS. Match these to how your team already authors tests and which systems you must drive under load.

### What is the cloud or enterprise path for Goose?
Goose is primarily self-hosted; teams typically run generators on their own machines, CI runners, or private cloud. Plan for generator capacity, network access to targets, and result storage yourself. As open source, commercial support or hosted siblings may exist separately. Check the official site. Pricing note: Free; GPL-3.0 license.

### What are known limitations of Goose?
Goose limitations to weigh: self-hosted tools require you to provision, scale, and observe load generators yourself. Status: active. Always validate against your target protocols and scale with a proof-of-concept. Confirm details against the official site and a short proof-of-concept in your environment.

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Curated by NaveenKumar Namachivayam (QAInsights) · methodology: https://perf.jmeter.ai/about/#methodology · corrections: https://github.com/QAInsights/Performance-Testing-Tools/issues/new?title=Tool%20submission%3A%20&body=Tool%20name%3A%20%0AOfficial%20URL%3A%20%0AWhat%20should%20be%20added%20or%20corrected%3F%20%0A