Hey r/learnrust,

In Rust, using ORMs like Diesel often means writing raw SQL migrations by hand and managing complex query macros.

I built LiteORM to explore a simpler, schema-first approach:

1. Define your models once in a declarative liteorm.schema:

​

struct User {
  id     Int32    (autoincrement())
  email  String  
  active Boolean u/default(true)
}

1. LiteORM does the heavy lifting:

• liteorm db push auto-diffs against PostgreSQL and runs atomic SQL migrations.
• liteorm generate generates type-safe Rust structs and query builders.
• liteorm studio opens a native, cross-platform desktop UI to view/edit data.

1. Query with compile-time safety:

​

rustlet active_users = db
    .all(User::select().where_(User::ACTIVE.equals(true)).limit(10))
    .await?;

No manual SQL migrations, zero string-concatenation risk (parameterized queries via tokio-postgres), and guards against accidental table wipes on updates/deletes.

• GitHub: https://github.com/unixipher/lite-orm
• Docs & Guide: https://unixipher.github.io/lite-orm/

Would love any feedback on the Rust API design and architecture!

Hey everyone I’ve been experimenting with low-level systems programming in Rust and built a tiny, #![no_std] lock-free map using atomic CAS and open addressing. First time sharing an open source systems project, I’d love to hear your thoughts or code critiques! ❤ the link https://github.com/voryiex/Titan-Cache-Engine