embedded-postgres VS Testify

So what can you do insted? For testing databases, setup a docker instance for tests (e.g. like in https://github.com/ardanlabs/service), or start an embedded-postgres daemon (see https://github.com/fergusstrange/embedded-postgres). For communication with external APIs, just pass the http.Client (either in context.Context or as a field on the struct). Then in tests, you can override the http.Client.Transport func.

There's also this interesting project, which embeds postgres into your binary: https://github.com/fergusstrange/embedded-postgres

This is down to nuance, but all databases are "file based" as they all write to files. But most of them require a separate process with lock coordination to get away from writer lock delays and ensure ACID, which includes Postgresql. Calling any version of pgl "embedded" is confusing because I see that being used to describe pgl databases which are run in a localhost mode with a single reader/writer client. Regardless, those still require a postgres process and access it over IP. For simplicity, if one uses a database by touching its files directly from the process accessing the database, then it's "embedded"; but then again I guess that semantic ship has sailed: https://github.com/fergusstrange/embedded-postgres so the point may be moot.

depending on the language you have chosen for your side project you might also be able to run postgresql in embedded mode here is the one for golang https://github.com/fergusstrange/embedded-postgres . There is similar solution for java as well.

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

FWIW, I've been using testify and mockery for years.

To answer OP directly, I am largely quite happy with mockery (and testify) to write expressive tests.

Como herramientas te recomiendo: FastJson https://github.com/valyala/fastjson : Si necesitas leer jsons Testify https://github.com/stretchr/testify : Para mockear y testear

Indispensable for testing your code: https://github.com/stretchr/testify

Best tool in the ecosystem testify. Learn about Table driven test, suite - saves your time so much with setup & teardown. Absolutely one thing you need to follow, if you see anything breaking (or bugs) add tests for that, could be unit tests or integration tests, this's of huge value and reduces manual testsing.

I use https://github.com/stretchr/testify in tests, it prints structs and diffs very well

Assertion libraries that people seem to love: - testify (my favorite) - go-cmp is a more barebones library - gotest.tools -- I have never used this but some swear by it