LLRT vs Lunatic

Overview

Lunatic

Stacks0

Followers3

Votes0

GitHub Stars4.8K

Forks139

LLRT

Stacks0

Followers1

Votes0

GitHub Stars8.6K

Forks379

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Detailed Comparison

Lunatic	LLRT
It is a single executable and runs on Windows, macOS and Linux. It spawns lightweight processes from WebAssembly modules that have their own heap/stack. These processes are preemptively scheduled on a multi-threaded executor.	LLRT (Low Latency Runtime) is a lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications. It offers up to over 10x faster startup and up to 2x overall lower cost compared to other JavaScript runtimes running on AWS Lambda.
Open source; Secure; Multi-lingual; No lock-in	Lightweight and low latency runtime; Designed for fast and efficient Serverless applications; Offers up to over 10x faster startup and up to 2x overall lower cost; Built in Rust, utilizing QuickJS as JavaScript engine
Statistics
GitHub Stars 4.8K	GitHub Stars 8.6K
GitHub Forks 139	GitHub Forks 379
Stacks 0	Stacks 0
Followers 3	Followers 1
Votes 0	Votes 0
Integrations
Linux Windows macOS WebAssembly	Jest JavaScript TypeScript Chai

What are some alternatives to Lunatic, LLRT?

mod_perl

It brings together the full power of the Perl programming language and the Apache HTTP server. You can use Perl to manage Apache, respond to requests for web pages and much more.

Wasmer

Use the tools you know and the languages you love. Compile everything to WebAssembly. Run it on any OS or embed it into other languages.

Workerd

It is an open-source JavaScript/Wasm runtime based on the same code that powers Cloudflare Workers. It shares most of its code with the runtime that powers Cloudflare Workers, but with some changes designed to make it more portable to other environments.

WasmEdge

It is a lightweight, high-performance, and extensible WebAssembly runtime for cloud-native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.