faker
fakedb
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faker
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How do you manage huge table-driven tests?
Complex objects creation can be put into a utility function, maybe check out https://github.com/go-faker/faker for generating fake data.
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Projects for landing a Golang job
Nice job! A while back, I bumped into https://github.com/go-faker/faker, which got integrated into https://benthos.dev for fake data generation. What were the design considerations when you started gofakeit? Does it have any niche features which faker doesn't provide or is there anything you'd like to see added to it? I'll give it a spin later to explore the API a bit.
fakedb
What are some alternatives?
faker - :rocket: Ultimate fake data generator for Go with zero dependencies
faker - Go (Golang) Fake Data Generator for Struct. [Notes]This repository is archived, moved to the new repository https://github.com/go-faker/faker
scan - Scan provides the ability to to scan sql rows directly to any defined structure.
Benthos - Fancy stream processing made operationally mundane
hoverfly - Lightweight service virtualization/ API simulation / API mocking tool for developers and testers
awesome-go - A curated list of awesome Go frameworks, libraries and software.
go-smtp-mock - SMTP mock server written on Golang. Mimic any 📤 SMTP server behavior for your test environment with fake SMTP server.
go-formatter - A curated list of awesome Go frameworks, libraries and software
gotests - Automatically generate Go test boilerplate from your source code.
goss - Quick and Easy server testing/validation
tparse - CLI tool for summarizing go test output. Pipe friendly. CI/CD friendly.