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WebAssembly Micro Runtime (WAMR)
WebAssembly Micro Runtime (WAMR) is a high-performance, lightweight WebAssembly runtime designed for resource-constrained devices and embedded systems. It provides a secure and efficient way to execute WebAssembly applications on various platforms.
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Added on 2025年6月21日5,402
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LanguageProject Introduction
Summary
WAMR is a leading runtime for executing WebAssembly on microcontrollers and small embedded systems. It brings the benefits of WebAssembly, such as portability and security, to the deeply embedded world, enabling safe and efficient application deployment on constrained hardware.
Problem Solved
Running portable, safe, and high-performance code on resource-constrained embedded devices and microcontrollers is challenging. Traditional approaches lack security guarantees or efficiency. WAMR addresses this by providing a compact and efficient WebAssembly runtime specifically optimized for such environments.
Core Features
Ahead-of-Time (AOT) Compilation
Supports ahead-of-time (AOT) compilation for optimized performance and reduced startup time on target hardware.
Lightweight and Efficient
Minimal memory footprint and CPU usage, making it ideal for microcontrollers and IoT devices.
Sandboxing and Security
Provides a secure sandboxed environment for executing untrusted WebAssembly code.
Cross-Platform Compatibility
Supports various architectures including ARM, RISC-V, x86, and more.
Tech Stack
C/C++
WebAssembly
CMake
LLVM (optional for AOT)
使用场景
WAMR is suitable for various applications where small footprint, high performance, and security are critical on resource-constrained devices.
Scenario 1: IoT Device Firmware
Details
Deploying application logic, sensor data processing, or connectivity protocols on low-power microcontrollers used in smart homes, wearables, or industrial sensors.
User Value
Enables flexible, updateable, and secure application code on devices with limited RAM and Flash.
Scenario 2: Industrial Control Systems
Details
Running control algorithms or data acquisition tasks securely and reliably on industrial automation systems and PLCs.
User Value
Provides a safe environment for executing logic from different vendors or functions downloaded remotely.
Scenario 3: Edge Computing Applications
Details
Executing small machine learning inference models or data filtering tasks directly on edge gateways or devices before sending data to the cloud.
User Value
Reduces latency and bandwidth usage by processing data locally at the edge.
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