Ngawi-Foundation

Ngawi-Foundation / ngawi-lang

Public

Write with Python-like ease, compile to native C speed. Ngawi is an experimental language that keeps syntax short and output fast.

10
2
100% credibility
Found Mar 23, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

Ngawi is an experimental programming language with concise syntax that translates programs into native executable files.

How It Works

1
🌟 Discover Ngawi

You hear about Ngawi, a fun experimental language that lets you write short, simple programs that run super fast on your computer.

2
💻 Set up the translator

You prepare the special tool that turns your Ngawi words into a ready-to-run program on your machine.

3
✏️ Write your program

Open a text editor and craft a simple program using easy words like 'fn main' and basic math or prints.

4
🚀 Turn it into an app

Feed your program to the tool, and it magically creates a standalone app you can run anywhere.

5
▶️ Run your creation

Double-click or launch the app, and see your words come alive with output on screen.

🎉 Program success!

Your custom program works perfectly, printing results or doing tasks just as you imagined.

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AI-Generated Review

What is ngawi-lang?

Ngawi is an experimental ngawi language that lets you write Python-like code with short syntax, then compiles it to native C speed via a full pipeline: lexer, parser, semantics, and C11 codegen. Developers drop .ngawi source into the ngawic CLI—like `ngawic build hello.ngawi -o hello`—to get a fast native binary, or `-S` to emit C for inspection. It solves the pain of scripting languages' slowness by delivering C performance without C's verbosity.

Why is it gaining traction?

Its hook is bilingual keywords—use English like `let`/`int` or Indonesian aliases like `muwani`/`amba`—making it fun for write C++ like Python fans. Built-in print handles mixed types seamlessly, with loops, pattern matching, and string ops like concat/len out of the box. Native output beats interpreted langs for perf-critical scripts, and golden tests ensure reliable codegen.

Who should use this?

Compiler hobbyists building toy projects or learning lang design. Python devs prototyping CLI tools needing native speed, like quick data processors. Teams writing github actions in rust/python but wanting simpler syntax with C binaries.

Verdict

Fun experiment at 10 stars and 1.0% credibility—docs cover syntax/getting started, tests hit lexer-to-codegen, but it's pre-production with changing APIs. Tinker if you dig ngawi language quirks; skip for anything serious.

(178 words)

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