kanel VS schemats

I'll just quickly plug Kanel (https://github.com/kristiandupont/kanel) which I use to generate Typescript types from a Postgres database. I agree with the author to think migrations-first, though I prefer to write them in SQL to ensure I can utilize all the powerful features that Postgres has to offer.

With it, I only get types for the tables and views etc., so any join will be untyped if done client-side. This is still a big win in my opinion, and I much prefer it to normal ORM's.

I made a tool that generates Typescript types out of a live Postgres database. I've had a request for Kysely support (https://github.com/kristiandupont/kanel/issues/273), but I more or less forgot about it. I would love to hear if that would be helpful.

There are tools that will generate typescript types from a database. I made one for Postgres. But it also works at "compile time", i.e. it doesn't look at a live database. I am not sure if that is what you are asking?

That's interesting. I use Knex a lot and I agree that it's very easy to end up just writing what is basically an ORM on the spot. I haven't quite decided if I think it's a real problem though.

I created and use Kanel (https://github.com/kristiandupont/kanel) to generate Typescript types from my Postgres database which helps a lot. Knex itself has some attempt at type safety but it gets confused quite quickly, so that's where it's tempting to override things.

Interesting. Someone asked me if I supported it in Kanel. At the time it was hard to extend Kanel and then I just forgot but perhaps I should take another look at it. I am not exactly overwhelmed with the types that Knex offers even though it does make an honest attempt.

I have so far found: - kanel https://github.com/kristiandupont/kanel - and pg-to-ts https://github.com/danvk/pg-to-ts

I’ve written before about the way I let the Postgres schema act as the source of truth by generating types with Kanel (assisted by Schemalint). In addition to this, I mention a homemade framework that sort of resembles a server-side Redux. This gives me typesafe database queries that are automatically reflected all the way to the frontend. I am frequently asked to make it open source and that is still the plan. I just need to untangle it from the Submotion source code which just never seems to be high enough priority. I promise I will get around to it :-)

We are using Kanel[1] for this right now — is there an advantage to using this instead?

[1]: https://github.com/kristiandupont/kanel

Sure. I've been using this lib https://github.com/kristiandupont/kanel to get types from my pg database and it makes it a breeze to use raw sql + ts.

This is really cool, will look into using it in future projects!

I also made a tool (https://github.com/vramework/schemats) that generates the types directly from the db, which means whenever you do a DB migration your database types automatically update. Was forked from the original schemats library a couple years ago.

I also created a lightweight library ontop of pg that is less of a query builder and more of a typed CRUD + SQL for non trivial queries (https://github.com/vramework/postgres-typed). Most queries I deal with in a day to day is usually crud so I find it a little easier, but it's much less powerful then Kysely! I fall more into the camp of writing complex queries in SQL with small helpers and writing simple ones with util functions and typescript

I'm working on a few projects, from one/two days to platforms.

The first is OS and is a simple nodeJS environment to deploy applications via lambda and express quickly. Sort of like nestJS except less decorators and more functional (https://vramework.io/). I already know of a few other colleagues that rolled their own propriety versions of this to support enterprise and cloud deployments so decided to OS it.

The other OS project is a strongly typed postgres/mysql driver. The idea is to generate typescript definitions directly from postgres (https://github.com/vramework/schemats) and then have a think layer ontop of pg-node that gives you strongly typed queries (https://github.com/vramework/postgres-typed).

An open-source project I spent a few years on the core team is https://deepstream.io/, a realtime-server that allows you to mix and match multiple streaming protocols (mqtt/websocket/others) and allow those clients to talk to each other using pub-sub and records. I'm not longer working for it but wanted to give it a shout out!

On a non OS project, I have been working on an immersive audio platform for a while now. The main goal is to allow users to pick and choose how audio books progress, and also have a live session mode which allows users to record their pulse / answer questions and a few other metrics and associate it with sentences. I pretty much built and deployed all of it but require some advice/brainstorming on how to proceed now. I built it to satisfy an itch when I was practicing shamanism during the first lockdown when I was in-between contracts / taking time off.

I also want to build a simple web-pages strategy game based around eco-education, but don't have the bandwidth . If anyone is interested in mixing together gamification and eco-village building might be a fun conversion to bounce ideas!

All the OS projects above were used to support my personal/a couple professional projects over the last few years.

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- Elderly care / Matching platforms (marta.de)

Recently (2021) have spent my time between my own product enjamon.com (almost at launch stage), working part-time for marta.de where I built their backend office, matching algorithm and two client facing apps (as the sole developer + intern) and some open-source projects around deployment strategies and postgres/typescript node interfaces (https://github.com/vramework/schemats).

Currently looking for a job where I can work part-time (20 hours a week) or for on-demand tasks (like optimising APIs, CI pipelines, AWS infrastructure).

Contact: [email protected]