PyPika VS sqlc

I recently started using drizzle orm and I am now looking for something similar in python, my goal is to be as close to sql syntax as possible without just passing dml commands as strings, type safety would be cool as well, I saw this one pypika but it ha a lot of open issues and no commits for a year, is there anything similar but more stable?

Yes it is. I haven't seen many Python projects using Prisma and

Note that there are several types of technologies that can help connect an application to an SQL database:

- SQL builders: the best known project seems to be Pypika by Kayak (https://github.com/kayak/pypika) but it seems to be dead of sleeping.

https://github.com/kayak/pypika

Have used in multiple projects and have found it's the right balance between ORMs and writing raw SQL. It's also easily extensible and takes care of the many edge cases and nuances of rolling your own SQL generator.

There is a middle-ground between writing SQL statement strings in your code, and a full-blown ORM: query builders. At least in my experience with small to medium projects, these have far fewer footguns while keeping the code composable and readable. Here's one for Python: https://github.com/kayak/pypika

"Is there a way to get sqlc to use pointers for nullable columns instead of the sql.Null types?"

I came across this yesterday for golang: https://sqlc.dev which is somewhat like what you want, maybe.

Not sure it allows you to parameterize table names but the basic idea is codegen from sql queries so you are working with go code (autocompletion etc).

Agreed, but tools like https://sqlc.dev, which I mention in the article, are a good trade-off that allows you to have verified, testable, SQL in your code.

sqlc is not strictly a conventional ORM. It offers a unique approach by generating Go code from SQL queries. This allows developers to write SQL, which sqlc then converts into type-safe Go code, reducing the boilerplate significantly. It ensures that your queries are syntactically correct and type-safe. sqlc is ideal for those who prefer writing SQL and are looking for an efficient way to integrate it into a Go application.

I was browsing awesome-go for ideas on how to setup my data access layer when I stumbled on sqlc. It seemed like a great option. Code generation is a strategy often used in the Go ecosystem and making my queries safe at compile time was an idea I really liked. Knex was great, but it required of me that I test thoroughly my queries at runtime and that I sanitize my query results to ensure type safety within my application.

Now, we are going to generate the code. For this purpose, we are going to use sqlc.

https://github.com/sqlc-dev/sqlc — for use with //go:generate