ghostdogpr

ghostdogpr / purelogic

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Direct-style pure domain logic for Scala

ghostdogpr.github.iopurelogic direct-style domain logic pure scala
12
2
100% credibility
Found Mar 15, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Scala
AI Summary

PureLogic is a Scala library that lets developers write pure, direct-style business logic by naturally combining context reading, state management, event logging, and error handling using simple capabilities.

How It Works

1
🔍 Discover PureLogic

You stumble upon PureLogic while looking for an easier way to organize business rules without complications.

2
📖 Explore the Guides

You check out the clear documentation filled with simple examples showing how to handle context, track changes, log events, and manage hiccups.

3
✨ Build Your First Rule

You craft a straightforward business rule by pulling in context info, updating details, noting steps along the way, and catching any issues gracefully.

4
▶️ Run Your Logic

You start your rule and see it flow smoothly, producing clear results, updated info, and a neat log of what happened.

5
⚡ Feel the Speed

You notice how quickly and efficiently your logic runs, even with lots of steps, making everything feel snappy.

🎉 Master Clean Logic

Your business rules are now pure, easy to combine, and work perfectly wherever you need them, bringing joy to your work.

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AI-Generated Review

What is purelogic?

PureLogic brings direct-style programming to Scala for pure domain logic, letting you handle effects like reading config, accumulating logs, updating state, and aborting on errors without monads or transformers. Using Scala 3's context functions and givens, it composes these capabilities naturally, so your business rules read like straightforward imperative code but stay pure and testable. Zero dependencies, runs on JVM, JS, or Native for Scala 3.3+.

Why is it gaining traction?

It ditches monad stacks for simpler direct-style syntax that's purlogic easy and purlogic fast, with benchmarks showing throughput matching or beating Cats RWST, ZPure, Kyo, and Turbolift on reader-writer-state loops. Developers hook on the flex to simulate sub-programs in isolation or recover errors with state/log rollbacks, keeping logic purlogic sprint-ready without boilerplate. For purlogic top würth or purlogic turbo needs, its purelogic sprint anwendung shines in composable domain rules.

Who should use this?

Scala backend devs crafting pure business logic for services or rules engines, especially those ditching Cats/ZIO effect towers for direct-style clarity. FP enthusiasts building auditable workflows with logs and state, or teams needing purlogic würth integration in domain models without impurity. Avoid if you're not on Scala 3 or prefer full effect systems.

Verdict

Early days with 12 stars and 1.0% credibility—docs are solid but lacks broad tests or adoption. Worth prototyping for purelogic top domain logic; scales well per benchmarks, but stabilize before prod.

(178 words)

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