postgres-typed VS godbledger

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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I agree with your point that adding multiple layers = more attack vectors and abstraction of a really good domain specific language. But what seems to happen on most of the projects I work on is we end up hiding away extremely common logic behind helper functions. It always starts off with SQL and then slowly gets moved into higher level functions that offer a better developer experience.

Shameless plug, but I just posted a library I wrote (for node https://github.com/vramework/postgres-typed/blob/master/READ...) which pretty much is a tiny layer ontop of pg-node (which is query based / with value parameters) and provides small util functions with typescript support derived straight from postgres tables.

In an ideal world (one I think we are getting very close to) I think we will end up having SQL queries validated in our code against the actual DB structure the same way we have any other compilation error. But until then we'll need to rely on tests or helper libraries, and for the purpose of refactoring and development I find the latter more enjoyable (although still far from perfect).

Shameless self plug: ive been building a similar open source command line accounting system

https://github.com/darcys22/godbledger

Its heavily inspired by both ledger and beancount but my biggest issue with them is that text files arnt great for double entry bookkeeping. Having a relational database is the better option which is what GoDBLedger has.

After a certain point a business cant keep track of its transactions in text files because there are simply too many of them, so these systems really only scale to personal finance levels (few hundred transactions maybe thousand transactions).

In addition building plugins that can import your whole text file into a sql system so you can query them is redundant. Just have it in a relational database to start with.

I’ve been building an open source accounting system in go.

https://github.com/darcys22/godbledger

Id love for any seasoned golang experts to do a review of my code and highlight any areas that could be improved.

This has also been my opinion for the accounting industry. Just like c compilers before gcc were proprietary and poor performing the accounting software that exists has many limitations. That means there is a huge opportunity for an open source system to blow them out of the water.

Ive been building one myself but i know there are many more coming for this industry :)

https://github.com/darcys22/godbledger

https://github.com/darcys22/godbledger

I love these command line self hosted accounting software packages. But double entry bookkeeping was invented using ledgerbooks with ruled tables. I feel the plain text dataformats are a regression compared to a sql database. A general ledger just works so well with columns that you can sum.

It also saves you from needing a custom tool like bean-query to replicate sqlite-ish queries because it could have been in a database from the start

GoDBLedger https://github.com/darcys22/godbledger

Its the core of my open source accounting system. Its slightly further along than half baked because the core works but that just means you can do double entry bookkeeping on the command line. Currently building a web interface to interact with it which hopefully will attract non technical users