PyPika VS drizzle-orm

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

Enter Drizzle, a lightweight typesafe ORM for TypeScript that comes with one promise: If you know SQL — you know Drizzle.

Drizzle ORM is a very popular TypeScript ORM that provides type safe access to your database, automated migrations, and a custom data model definition.

> being able to have a completely typesafe ORM such as Drizzle (https://orm.drizzle.team/) feels like a Rubicon moment, and touching anything else feels like a significant step backwards.

Alright, but there's nothing stopping you from having a completely typesafe ORM in python, is there?

Sure, there's isn't really one that everyone uses yet, but the python community tends to be a bit more cautious and slower to adopt big changes like that.

Drizzle [1] comes pretty close the last time I checked.

[1]: https://orm.drizzle.team

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

It's just SQL so you can take it out at any moment and move to any other DB provider. The package for working with Astro DB, @astrojs/db, includes Drizzle ORM so migration to a different provider should be relatively painless

Since Vercel's analytics pricing is a bit too expensive for my use case (where I hit the limit of 2,500 requests per month), and I didn't like using Google Analytics (not a big fan of Google), I decided to build my own analytics dashboard. Databases was something I didn't work with much before directly, so I decided to use an ORM, Drizzle, which is quite lightweight and easy to use.

do yourself a favor and ditch Prisma. It's a bloody mess of a project and codebase. I recommend https://github.com/drizzle-team/drizzle-orm to anyone that'll listen.