ddt VS snipp.in

DDT allows building custom decision trees based in a set of defined rules, programmatically or from json.

When making a decision, it allows adding a pre-processing stage to the input before comparing it with the following possible branches of the tree.

https://github.com/sgrodriguez/ddt

https://github.com/sgrodriguez/ddt a decision tree lib in golang for building custom rules decision tree. It allows adding a pre-processing stage to the input before comparing it with the following possible branches of the tree. One of the default preprocessing stages in ddt is calling a method of a struct (CallStructMethod) and getting the attribute of a struct (GetStructAttribute) using reflection, so you can have a struct user with some methods and attributes and build a tree asking question about the user.

I built https://snipp.in because I was top frustrated about the loading times of notion. I am a developer and I take notes quite often, most of us spend a lot of time on an IDE and when we need format a quick json or copy a tiny snippet we often find ourselves in opening another instance of an editor with a txt file or random website to formate json. Snipp.in is a tiny jn browser editor, note taking app and a snippet manager all in one which looks like an Editor but really fast without any bs of signin/signups or cloud. It just stores everything in your browser using IndexedDB. It's also open-sourced at https://github.com/haxzie/snipp.in