tinygo

tinygo

轻量级Go编译器 适用于微控制器WebAssembly和命令行工具

TinyGo是专为资源受限环境设计的Go编译器,适用于微控制器、WebAssembly和命令行工具。它结合Go语言工具和LLVM技术,提供Go程序的替代编译方式。TinyGo支持多种微控制器板、WASM和WASI目标,以及主流操作系统。其特点包括生成小型二进制文件、广泛的硬件兼容性和标准库支持,为嵌入式开发和WebAssembly应用提供了实用解决方案。

TinyGoGo编译器微控制器WebAssembly嵌入式开发Github开源项目

TinyGo - Go compiler for small places

Linux macOS Windows Docker Nix CircleCI

TinyGo is a Go compiler intended for use in small places such as microcontrollers, WebAssembly (wasm/wasi), and command-line tools.

It reuses libraries used by the Go language tools alongside LLVM to provide an alternative way to compile programs written in the Go programming language.

Embedded

Here is an example program that blinks the built-in LED when run directly on any supported board with onboard LED:

package main import ( "machine" "time" ) func main() { led := machine.LED led.Configure(machine.PinConfig{Mode: machine.PinOutput}) for { led.Low() time.Sleep(time.Millisecond * 1000) led.High() time.Sleep(time.Millisecond * 1000) } }

The above program can be compiled and run without modification on an Arduino Uno, an Adafruit ItsyBitsy M0, or any of the supported boards that have a built-in LED, just by setting the correct TinyGo compiler target. For example, this compiles and flashes an Arduino Uno:

tinygo flash -target arduino examples/blinky1

WebAssembly

TinyGo is very useful for compiling programs both for use in browsers (WASM) as well as for use on servers and other edge devices (WASI).

TinyGo programs can run in Fastly Compute, Fermyon Spin, wazero and many other WebAssembly runtimes.

Here is a small TinyGo program for use by a WASI host application:

package main //go:wasm-module yourmodulename //export add func add(x, y uint32) uint32 { return x + y } // main is required for the `wasip1` target, even if it isn't used. func main() {}

This compiles the above TinyGo program for use on any WASI runtime:

tinygo build -o main.wasm -target=wasip1 main.go

Installation

See the getting started instructions for information on how to install TinyGo, as well as how to run the TinyGo compiler using our Docker container.

Supported targets

Embedded

You can compile TinyGo programs for over 94 different microcontroller boards.

For more information, please see https://tinygo.org/docs/reference/microcontrollers/

WebAssembly

TinyGo programs can be compiled for both WASM and WASI targets.

For more information, see https://tinygo.org/docs/guides/webassembly/

Operating Systems

You can also compile programs for Linux, macOS, and Windows targets.

For more information:

Currently supported features:

For a description of currently supported Go language features, please see https://tinygo.org/lang-support/.

Documentation

Documentation is located on our web site at https://tinygo.org/.

You can find the web site code at https://github.com/tinygo-org/tinygo-site.

Getting help

If you're looking for a more interactive way to discuss TinyGo usage or development, we have a #TinyGo channel on the Gophers Slack.

If you need an invitation for the Gophers Slack, you can generate one here which should arrive fairly quickly (under 1 min): https://invite.slack.golangbridge.org

Contributing

Your contributions are welcome!

Please take a look at our Contributing page on our web site for details.

Project Scope

Goals:

  • Have very small binary sizes. Don't pay for what you don't use.
  • Support for most common microcontroller boards.
  • Be usable on the web using WebAssembly.
  • Good CGo support, with no more overhead than a regular function call.
  • Support most standard library packages and compile most Go code without modification.

Non-goals:

  • Be efficient while using zillions of goroutines. However, good goroutine support is certainly a goal.
  • Be as fast as gc. However, LLVM will probably be better at optimizing certain things so TinyGo might actually turn out to be faster for number crunching.
  • Be able to compile every Go program out there.

Why this project exists

We never expected Go to be an embedded language and so its got serious problems...

-- Rob Pike, GopherCon 2014 Opening Keynote

TinyGo is a project to bring Go to microcontrollers and small systems with a single processor core. It is similar to emgo but a major difference is that we want to keep the Go memory model (which implies garbage collection of some sort). Another difference is that TinyGo uses LLVM internally instead of emitting C, which hopefully leads to smaller and more efficient code and certainly leads to more flexibility.

The original reasoning was: if Python can run on microcontrollers, then certainly Go should be able to run on even lower level micros.

License

This project is licensed under the BSD 3-clause license, just like the Go project itself.

Some code has been copied from the LLVM project and is therefore licensed under a variant of the Apache 2.0 license. This has been clearly indicated in the header of these files.

Some code has been copied and/or ported from Paul Stoffregen's Teensy libraries and is therefore licensed under PJRC's license. This has been clearly indicated in the header of these files.

编辑推荐精选

iTerms

iTerms

企业专属的AI法律顾问

iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。

SimilarWeb流量提升

SimilarWeb流量提升

稳定高效的流量提升解决方案,助力品牌曝光

稳定高效的流量提升解决方案,助力品牌曝光

Sora2视频免费生成

Sora2视频免费生成

最新版Sora2模型免费使用,一键生成无水印视频

最新版Sora2模型免费使用,一键生成无水印视频

Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。

讯飞绘文

讯飞绘文

选题、配图、成文,一站式创作,让内容运营更高效

讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。

热门AI辅助写作AI工具讯飞绘文内容运营AI创作个性化文章多平台分发AI助手
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
商汤小浣熊

商汤小浣熊

最强AI数据分析助手

小浣熊家族Raccoon,您的AI智能助手,致力于通过先进的人工智能技术,为用户提供高效、便捷的智能服务。无论是日常咨询还是专业问题解答,小浣熊都能以快速、准确的响应满足您的需求,让您的生活更加智能便捷。

imini AI

imini AI

像人一样思考的AI智能体

imini 是一款超级AI智能体,能根据人类指令,自主思考、自主完成、并且交付结果的AI智能体。

Keevx

Keevx

AI数字人视频创作平台

Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。

即梦AI

即梦AI

一站式AI创作平台

提供 AI 驱动的图片、视频生成及数字人等功能,助力创意创作

下拉加载更多