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SPECIFICTION
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Behave vs Ginkgo

Behave

behave.readthedocs.io

Ginkgo

onsi.github.io

Side by side

FigureBehaveGinkgo
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published01
Spec score · BDD Testing Tools7.8 (#9)8.2 (#7)
IntegrationsThe documentation includes integration guidance for Django and Flask and examples using Selenium for browser interaction.Ginkgo exposes GinkgoT() and GinkgoTB() so many Go testing libraries, including Testify and Gomock, can be used with it.
PurposeBehave is a Python-style behavior-driven development tool that runs tests written in a natural-language style backed by Python code.Ginkgo is a testing framework for Go for writing expressive tests, including unit, integration, acceptance, and performance tests.

Plans

Behave

No plans published.

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Ginkgo

  • GinkgoFree

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In their own words

Behave

Behave has no write-up on Specifiction yet; its figures are above.

Visit behave.readthedocs.io

Ginkgo

Ginkgo is a free, MIT-licensed testing framework for Go that helps developers write expressive specifications. Its BDD-style DSL uses nested Describe, Context, and When containers, along with setup, cleanup, and spec nodes. Developers can use it for unit, integration, and performance specs. Independent specs can run in parallel or in reproducibly randomized order. The bundled ginkgo command can generate, run, filter, and profile suites, and watch for changes to rerun specs. Reporting can produce machine-readable output in multiple formats and supports custom reporting infrastructure. Ginkgo builds on Go’s testing foundation and is designed to pair with the Gomega matcher library. Its GinkgoT() and GinkgoTB() interfaces also allow use of Go testing libraries such as Testify and Gomock. Documentation lists completions for Sublime Text and VS Code, plus a VS Code extension for running specs. The current supported major version is V2; V1 is no longer supported. Ginkgo states compatibility with Go versions currently supported under Go’s release policy, N and N−1.

Visit onsi.github.io