Search Results for "wasm" - Page 4

markdown-wasm is a high-performance Markdown parser and HTML renderer implemented in WebAssembly, designed to provide extremely fast and portable Markdown processing across environments such as browsers and Node.js. It is based on the md4c C library, which is known for its compliance with the CommonMark specification and efficient parsing algorithms.

WebAssembly from Scratch is an educational and exploratory project that demonstrates how WebAssembly works from the ground up by progressively building increasingly complex programs starting from simple examples like FizzBuzz and culminating in advanced applications such as running classic games. It is structured as a narrative journey that emphasizes understanding WebAssembly at a low level, rather than relying on high-level tooling or abstractions. The project walks through writing...

...It is designed to integrate seamlessly into existing Kubernetes clusters, allowing developers to schedule and manage Wasm workloads using familiar Kubernetes APIs and tooling.

Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. ...

Wasmer Go is a Go language library that provides bindings to the Wasmer WebAssembly runtime, enabling developers to execute WebAssembly modules directly within Go applications. It is designed to offer a seamless and idiomatic API that closely mirrors the standard WebAssembly interface, making it easy for developers to integrate Wasm execution into their systems. The runtime delivers near-native performance by leveraging Wasmer’s optimized execution engine while maintaining strong sandboxing guarantees for safe execution of untrusted code. Wasmer Go supports loading, compiling, and running WebAssembly modules, as well as interacting with them through imports, exports, and memory management. ...

Wasm3 is a highly optimized WebAssembly interpreter designed to execute .wasm binaries efficiently across a wide range of platforms, including embedded systems, IoT devices, and constrained environments. Unlike JIT-based runtimes, Wasm3 uses an interpreter architecture that prioritizes portability, low memory usage, and predictable execution, making it especially suitable for environments where resources are limited.

...It provides a native extension that exposes Wasmer’s API to PHP, closely mirroring the standard WebAssembly C API for familiarity and ease of use. The runtime is designed to execute Wasm modules at near-native speeds while maintaining strong sandboxing guarantees to ensure safety and isolation. Developers can instantiate modules, call exported functions, and interact with memory and data structures from PHP code, enabling hybrid architectures that combine PHP with high-performance compiled languages. The project is particularly useful for extending PHP applications with performance-critical logic written in languages like Rust or C that compile to WebAssembly. ...

Lucet is a native WebAssembly compiler and runtime designed to securely execute untrusted code with high performance and strong isolation guarantees. Developed by the Bytecode Alliance, it focuses on ahead-of-time compilation, converting WebAssembly modules into native machine code before execution to achieve fast startup times and predictable performance. Lucet is particularly notable for its use in edge computing environments, where low latency and efficient resource usage are critical,...

Twiggy is a specialized code size profiler designed for analyzing WebAssembly (Wasm) binaries, helping developers understand why their compiled output is large and how different functions contribute to that size. It works by inspecting a binary’s call graph and providing detailed breakdowns of which functions are included and how they are interconnected, allowing developers to trace dependencies and identify unnecessary code paths.