samyeyo/clx: CLX: Cross-Platform Ahead-of-Time Lua Compiler
A cross-platform ahead-of-time Lua compiler and runtime using C++20 for native executables.
★ 4.0 / 5 iKeep scoreScreenshots
Quick facts
Overview
CLX is a cross-platform ahead-of-time Lua compiler and runtime that generates standalone native executables using a C++20 backend. It focuses on predictable performance, fast startup times, and integration with existing C++ toolchains.
Getting started with GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend
- Clone the repositoryStart by cloning the CLX repository from GitHub using 'git clone https://github.com/samyeyo/clx.git'.
- Build the compilerFollow the build instructions in the repository to compile CLX for your platform, ensuring you have a C++20 compatible compiler installed.
- Compile Lua codeUse the CLX compiler to compile your Lua scripts into standalone native executables with the provided command-line interface.
- Run the executableExecute the generated native binary, which will run your Lua code with optimized performance and fast startup times.
Pricing
| Plan | Price | Note |
|---|---|---|
| Open-source | Free | — |
💡 Indicative pricing — check the official rates at github.com · Updated 7/21/2026
Original pricing screenshotKey features
- Ahead-of-time native compilation for Lua
- Generates standalone executables
- Cross-platform support
- Fast startup times
- Integration with C++ toolchains
- Optimization through modern native compilers
Pros
- Produces standalone native executables
- Cross-platform compatibility
- Fast startup and predictable performance
Cons
- Not the fastest Lua implementation for all workloads
- Requires C++20 toolchain
Use cases
- Developers needing standalone Lua executables
- Projects requiring predictable Lua runtime performance
- Integration with C++ toolchains
The verdict
CLX is a solid choice for developers who need to compile Lua scripts into standalone native executables with predictable performance, especially when working with C++ toolchains.
✓ Who should use it
Developers who need to deploy Lua scripts as standalone native executables with fast startup times.
✕ Who should skip it
Those needing the absolute fastest Lua runtime for all workloads or who don't require native compilation.
Categories
Community
- GitHub Discussions ↗Official discussions for CLX development and usage
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Frequently asked questions
Is GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend free?
GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend is free to use.
What is GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend best for?
Developers looking for a Lua compiler that generates native executables with predictable performance.
Does GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend have an API?
No, GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend does not offer a public API.
Can I self-host GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend?
Yes, GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend can be self-hosted.
Who should use GitHub - samyeyo/clx: A cross-platform ahead-of-time Lua compiler and runtime, using C++20 backend?
Developers who need to deploy Lua scripts as standalone native executables with fast startup times.
Reviews 4.0 ★ · 1 review
CLX stands out as a practical solution for developers who need to compile Lua scripts into native executables. Its use of C++20 as a backend ensures good performance and compatibility with modern toolchains. While it may not be the fastest Lua implementation for all use cases, its ahead-of-time compilation and standalone executable generation make it particularly valuable for deployment scenarios. The cross-platform support and fast startup times are additional strengths. This tool is especially useful for developers working in environments where Lua scripts need to be distributed as self-contained applications.
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