dd VS autogold

Compare dd vs autogold and see what are their differences.

dd

Data Dumper library dumps any data as valid syntax in Go (by Code-Hex)
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dd autogold
4 10
180 273
- 1.5%
0.0 4.7
over 1 year ago 8 months ago
Go Go
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dd

Posts with mentions or reviews of dd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-10.

autogold

Posts with mentions or reviews of autogold. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-10.

What are some alternatives?

When comparing dd and autogold you can also consider the following projects:

litter - Litter is a pretty printer library for Go data structures to aid in debugging and testing.

testeach - Simple test setup/teardown for Go tests

dockertest - Write better integration tests! Dockertest helps you boot up ephermal docker images for your Go tests with minimal work.

gomodifytags - Go tool to modify struct field tags

v8go - Execute JavaScript from Go

go-testdeep - Extremely flexible golang deep comparison, extends the go testing package, tests HTTP APIs and provides tests suite

valast - Convert Go values to their AST

chi - lightweight, idiomatic and composable router for building Go HTTP services

notify - A dead simple Go library for sending notifications to various messaging services.

backoff - ⏱ The exponential backoff algorithm in Go

gqlgen - go generate based graphql server library