Ginkgo is a mature testing framework for Go designed to help you write expressive specs. Ginkgo builds on top of Go's `testing` foundation and is complemented by the [Gomega](https://github.com/onsi/gomega) matcher library. Together, Ginkgo and Gomega let you express the intent behind your specs clearly:
```go
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
...
)
Describe("Checking books out of the library", Label("library"), func() {
var library *libraries.Library
var book *books.Book
var valjean *users.User
BeforeEach(func() {
library = libraries.NewClient()
book = &books.Book{
Title: "Les Miserables",
Author: "Victor Hugo",
}
valjean = users.NewUser("Jean Valjean")
})
When("the library has the book in question", func() {
Jump to the [docs](https://onsi.github.io/ginkgo/) to learn more. It's easy to [bootstrap](https://onsi.github.io/ginkgo/#bootstrapping-a-suite) and start writing your [first specs](https://onsi.github.io/ginkgo/#adding-specs-to-a-suite).
If you have a question, comment, bug report, feature request, etc. please open a [GitHub issue](https://github.com/onsi/ginkgo/issues/new), or visit the [Ginkgo Slack channel](https://app.slack.com/client/T029RQSE6/CQQ50BBNW).
Whether writing basic unit specs, complex integration specs, or even performance specs - Ginkgo gives you an expressive Domain-Specific Language (DSL) that will be familiar to users coming from frameworks such as [Quick](https://github.com/Quick/Quick), [RSpec](https://rspec.info), [Jasmine](https://jasmine.github.io), and [Busted](https://lunarmodules.github.io/busted/). This style of testing is sometimes referred to as "Behavior-Driven Development" (BDD) though Ginkgo's utility extends beyond acceptance-level testing.
With Ginkgo's DSL you can use nestable [`Describe`, `Context` and `When` container nodes](https://onsi.github.io/ginkgo/#organizing-specs-with-container-nodes) to help you organize your specs. [`BeforeEach` and `AfterEach` setup nodes](https://onsi.github.io/ginkgo/#extracting-common-setup-beforeeach) for setup and cleanup. [`It` and `Specify` subject nodes](https://onsi.github.io/ginkgo/#spec-subjects-it) that hold your assertions. [`BeforeSuite` and `AfterSuite` nodes](https://onsi.github.io/ginkgo/#suite-setup-and-cleanup-beforesuite-and-aftersuite) to prep for and cleanup after a suite... and [much more!](https://onsi.github.io/ginkgo/#writing-specs)
At runtime, Ginkgo can run your specs in reproducibly [random order](https://onsi.github.io/ginkgo/#spec-randomization) and has sophisticated support for [spec parallelization](https://onsi.github.io/ginkgo/#spec-parallelization). In fact, running specs in parallel is as easy as
By following [established patterns for writing parallel specs](https://onsi.github.io/ginkgo/#patterns-for-parallel-integration-specs) you can build even large, complex integration suites that parallelize cleanly and run performantly.
As your suites grow Ginkgo helps you keep your specs organized with [labels](https://onsi.github.io/ginkgo/#spec-labels) and lets you easily run [subsets of specs](https://onsi.github.io/ginkgo/#filtering-specs), either [programmatically](https://onsi.github.io/ginkgo/#focused-specs) or on the [command line](https://onsi.github.io/ginkgo/#combining-filters). And Ginkgo's reporting infrastructure generates machine-readable output in a [variety of formats](https://onsi.github.io/ginkgo/#generating-machine-readable-reports) _and_ allows you to build your own [custom reporting infrastructure](https://onsi.github.io/ginkgo/#generating-reports-programmatically).
Ginkgo ships with `ginkgo`, a [command line tool](https://onsi.github.io/ginkgo/#ginkgo-cli-overview) with support for generating, running, filtering, and profiling Ginkgo suites. You can even have Ginkgo automatically run your specs when it detects a change with `ginkgo watch`, enabling rapid feedback loops during test-driven development.
And that's just Ginkgo! [Gomega](https://onsi.github.io/gomega/) brings a rich, mature, family of [assertions and matchers](https://onsi.github.io/gomega/#provided-matchers) to your suites. With Gomega you can easily mix [synchronous and asynchronous assertions](https://onsi.github.io/ginkgo/#patterns-for-asynchronous-testing) in your specs. You can even build your own set of expressive domain-specific matchers quickly and easily by composing Gomega's [existing building blocks](https://onsi.github.io/ginkgo/#building-custom-matchers).