specter VS clojure-dsl-resources

> Another example is Specter. Specter is a generically useful library for querying and manipulating data structures

> https://github.com/redplanetlabs/specter/tree/master/src

> MutableCell.Java. 8 years ago

  package com.rpl.specter;

If you are truly interested in understanding my point of view -- a great way to do it would be to learn how to use this Clojure DSL: https://github.com/redplanetlabs/specter

For deeply nested data, use specter https://github.com/redplanetlabs/specter

Yes :), I needed a fast dijkstra implementation to solve a puzzle in 2021. A pure clojure implementation was too slow so i built one on top of this https://github.com/redplanetlabs/specter

https://github.com/redplanetlabs/specter (very powerful way to express modifications to nested data)

Don't forget about specter which is efficient and compact due to its DSL.

Learn and use specter for nested data manipulation, will take some studying but is a more general solution (https://github.com/redplanetlabs/specter)

For part 1, the version (and other things) are attached to the metadata of each sexp, and a Specter recursive path is used to extract all of the versions.

Compojure's DSL for web applications makes it easy to set up REST API routes with corresponding HTTP methods. Adding a Swagger API descriptor through libraries like ring-swagger provides a visual interface for interacting with the API and enables client code generation. You can use the Prismatic schema library for HTTP request validation and data coercing to ensure the API consumes and produces data that conforms to predefined schemas. Compojure's middleware approach allows for modular and reusable components that can handle cross-cutting concerns like authentication, logging, and request/response transformations, enhancing the API's scalability and maintainability.

The widespread use of simple data structures for almost everything makes graph data - and any data really - very, very portable and it helps to enable this emerging ecosystem of graph libraries in both the frontend and backend.

A couple more: https://github.com/simongray/clojure-dsl-resources#data-matchingtransformation-dsls

I added your library under data-based DSLs.