Nim

Nim

兼顾效率与灵活性的现代系统编程语言

Nim是一种结合了高效性和灵活性的系统编程语言。它拥有强大的编译器和丰富的标准库,支持Windows、Linux和Mac OS X等多个平台。Nim语法简洁,性能接近C语言,同时融合了现代编程语言特性。其编译器采用自举开发,拥有活跃的社区和众多贡献者。Nim生态系统包括包管理器Nimble,便于依赖管理和代码共享。

Nim编程语言编译器开源项目跨平台Github

<img src="https://raw.githubusercontent.com/nim-lang/assets/master/Art/logo-crown.png" height="28px"/> Nim

Build Status

This repository contains the Nim compiler, Nim's stdlib, tools, and documentation. For more information about Nim, including downloads and documentation for the latest release, check out [Nim's website][nim-site] or bleeding edge docs.

Community

[![Join the IRC chat][badge-nim-irc]][nim-irc] [![Join the Discord server][badge-nim-discord]][nim-discord] [![Join the Gitter chat][badge-nim-gitter]][nim-gitter] Join the Matrix room [![Get help][badge-nim-forum-gethelp]][nim-forum] [![View Nim posts on Stack Overflow][badge-nim-stackoverflow]][nim-stackoverflow-newest] [![Follow @nim_lang on Twitter][badge-nim-twitter]][nim-twitter]

  • The [forum][nim-forum] - the best place to ask questions and to discuss Nim.
  • [#nim IRC Channel (Libera Chat)][nim-irc] - a place to discuss Nim in real-time. Also where most development decisions get made.
  • [Discord][nim-discord] - an additional place to discuss Nim in real-time. Most channels there are bridged to IRC.
  • [Gitter][nim-gitter] - an additional place to discuss Nim in real-time. There is a bridge between Gitter and the IRC channel.
  • [Matrix][nim-matrix] - the main room to discuss Nim in real-time. [Matrix space][nim-matrix-space] contains a list of rooms, most of them are bridged to IRC.
  • [Telegram][nim-telegram] - an additional place to discuss Nim in real-time. There is the official Telegram channel. Not bridged to IRC.
  • [Stack Overflow][nim-stackoverflow] - a popular Q/A site for programming related topics that includes posts about Nim.
  • [GitHub Wiki][nim-wiki] - Misc user-contributed content.

Compiling

The compiler currently officially supports the following platform and architecture combinations:

Operating SystemArchitectures Supported
Windows (Windows XP or greater)x86 and x86_64
Linux (most distributions)x86, x86_64, ppc64, and armv6l
Mac OS X (10.04 or greater)x86, x86_64, ppc64, and Apple Silicon (ARM64)

More platforms are supported, however, they are not tested regularly and they may not be as stable as the above-listed platforms.

Compiling the Nim compiler is quite straightforward if you follow these steps:

First, the C source of an older version of the Nim compiler is needed to bootstrap the latest version because the Nim compiler itself is written in the Nim programming language. Those C sources are available within the [nim-lang/csources_v2][csources-v2-repo] repository.

Next, to build from source you will need:

  • A C compiler such as gcc 5.x/later or an alternative such as clang, Visual C++ or Intel C++. It is recommended to use gcc 5.x or later.
  • Either git or wget to download the needed source repositories.
  • The build-essential package when using gcc on Ubuntu (and likely other distros as well).
  • On Windows MinGW 4.3.0 (GCC 8.10) is the minimum recommended compiler.
  • Nim hosts a known working MinGW distribution:

Windows Note: Cygwin and similar POSIX runtime environments are not supported.

Then, if you are on a *nix system or Windows, the following steps should compile Nim from source using gcc, git, and the koch build tool.

Note: The following commands are for the development version of the compiler. For most users, installing the latest stable version is enough. Check out the installation instructions on the website to do so: https://nim-lang.org/install.html.

For package maintainers: see packaging guidelines.

First, get Nim from GitHub:

git clone https://github.com/nim-lang/Nim.git
cd Nim

Next, run the appropriate build shell script for your platform:

  • build_all.sh (Linux, Mac)
  • build_all.bat (Windows)

Finally, once you have finished the build steps (on Windows, Mac, or Linux) you should add the bin directory to your PATH.

See also bootstrapping the compiler.

See also reproducible builds.

Koch

koch is the build tool used to build various parts of Nim and to generate documentation and the website, among other things. The koch tool can also be used to run the Nim test suite.

Assuming that you added Nim's bin directory to your PATH, you may execute the tests using ./koch tests. The tests take a while to run, but you can run a subset of tests by specifying a category (for example ./koch tests cat async).

For more information on the koch build tool please see the documentation within the doc/koch.md file.

Nimble

nimble is Nim's package manager. To learn more about it, see the [nim-lang/nimble][nimble-repo] repository.

Contributors

This project exists thanks to all the people who contribute. <a href="https://github.com/nim-lang/Nim/graphs/contributors"><img src="https://opencollective.com/Nim/contributors.svg?width=890" /></a>

Contributing

Backers on Open Collective Sponsors on Open Collective [![Donate Bitcoins][badge-nim-bitcoin]][nim-bitcoin] Open Source Helpers

See detailed contributing guidelines. We welcome all contributions to Nim regardless of how small or large they are. Everything from spelling fixes to new modules to be included in the standard library are welcomed and appreciated. Before you start contributing, you should familiarize yourself with the following repository structure:

  • bin/, build/ - these directories are empty, but are used when Nim is built.
  • compiler/ - the compiler source code. Also includes plugins within compiler/plugins.
  • nimsuggest - the nimsuggest tool that previously lived in the [nim-lang/nimsuggest][nimsuggest-repo] repository.
  • config/ - the configuration for the compiler and documentation generator.
  • doc/ - the documentation files in reStructuredText format.
  • lib/ - the standard library, including:
    • pure/ - modules in the standard library written in pure Nim.
    • impure/ - modules in the standard library written in pure Nim with dependencies written in other languages.
    • wrappers/ - modules that wrap dependencies written in other languages.
  • tests/ - contains categorized tests for the compiler and standard library.
  • tools/ - the tools including niminst (mostly invoked via koch).
  • koch.nim - the tool used to bootstrap Nim, generate C sources, build the website, and generate the documentation.

If you are not familiar with making a pull request using GitHub and/or git, please read [this guide][pull-request-instructions].

Ideally, you should make sure that all tests pass before submitting a pull request. However, if you are short on time, you can just run the tests specific to your changes by only running the corresponding categories of tests. CI verifies that all tests pass before allowing the pull request to be accepted, so

编辑推荐精选

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成AI工具AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机AI图像热门
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具酷表ChatExcelAI智能客服AI营销产品使用教程
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
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

AI辅助写作AI工具AI论文工具论文写作智能生成大纲数据安全AI助手热门
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

AI办公办公工具AI工具博思AIPPTAI生成PPT智能排版海量精品模板AI创作热门
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

下拉加载更多