What is the main difference between Squint and Cherry?

Squint uses native JS data structures and has a minimal runtime of about 10KB, whereas Cherry provides full ClojureScript semantics and persistent data structures with a larger 100KB footprint.

How does Squint handle JavaScript interop?

Interop is seamless because Squint uses native JS types. You can call JS functions and access objects directly without needing to convert data structures back and forth.

Is Squint suitable for full-scale React applications?

Squint is optimized for small scripts and high-performance interop. For full applications requiring JSX and persistent immutability, Cherry or standard ClojureScript is usually recommended.

Does Squint support Clojure keywords?

In Squint, keywords are compiled directly into native JavaScript strings to ensure maximum compatibility and performance.

Squint Runtime

Name: Squint Runtime
Author: plurigrid

byplurigrid

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Developer Tools

Compiles light-weight ClojureScript to JavaScript with minimal runtime overhead for high-performance scripts and seamless interop.

About

Squint Runtime is a specialized Claude Code skill designed for developers who want the expressive power of Clojure with the performance and size of native JavaScript. It compiles a specific ClojureScript dialect into plain JS using native arrays and objects, resulting in an incredibly small runtime footprint of approximately 10KB. This skill is perfect for creating fast scripts, serverless functions, or integrating Lisp-style logic into existing JavaScript projects without the overhead of traditional ClojureScript persistent data structures.

Key Features

Minimal runtime overhead (~10KB) compared to full CLJS
Deterministic compilation for predictable production builds
Direct execution and watch-mode support for rapid development
Seamless interop without the need for complex conversion macros
Native JavaScript data structure mapping (Objects and Arrays)
2 GitHub stars

Use Cases

Creating lightweight serverless functions with minimal cold-start times
Building high-performance browser utilities with Clojure syntax
Integrating Lisp-based logic into legacy JavaScript codebases

About

Key Features

Minimal runtime overhead (~10KB) compared to full CLJS
Deterministic compilation for predictable production builds
Direct execution and watch-mode support for rapid development
Seamless interop without the need for complex conversion macros
Native JavaScript data structure mapping (Objects and Arrays)
2 GitHub stars

Use Cases

Creating lightweight serverless functions with minimal cold-start times
Building high-performance browser utilities with Clojure syntax
Integrating Lisp-based logic into legacy JavaScript codebases