Project Icon

slate

灵活可定制的富文本编辑器开发框架

Slate是一个高度灵活的富文本编辑器开发框架,能够帮助开发者创建类似Medium、Dropbox Paper或Google Docs的复杂编辑器。它采用插件式架构,核心逻辑简洁,支持嵌套文档模型和DOM结构对应。Slate提供直观的命令系统,支持协作编辑,并清晰区分核心与自定义功能。这种设计使得开发者可以轻松实现各种复杂的编辑功能,满足不同应用场景的需求。

A completely customizable framework
for building rich text editors.


Why? · Principles · Demo · Examples · Documentation · Contributing!



Slate lets you build rich, intuitive editors like those in Medium, Dropbox Paper or Google Docs—which are becoming table stakes for applications on the web—without your codebase getting mired in complexity.

It can do this because all of its logic is implemented with a series of plugins, so you aren't ever constrained by what is or isn't in "core". You can think of it like a pluggable implementation of contenteditable built on top of React. It was inspired by libraries like Draft.js, Prosemirror and Quill.

🤖 Slate is currently in beta. Its core API is useable right now, but you might need to pull request improvements for advanced use cases, or fixes for some bugs. Some of its APIs are not "finalized" and will have breaking changes over time as we discover better solutions. There isn't currently a 1.0 release schedule, we're still getting the architecture right.

🤖 Slate is also contributor-driven. It is not backed by any huge company, which means that all contributions are voluntary and done by the people who need them. If you need something improved, added, or fixed, please contribute it yourself or no one will. And if you want to become a more active maintainer, let us know in the Slack channel.


Why?

Why create Slate? Well... (Beware: this section has a few of my opinions!)

Before creating Slate, I tried a lot of the other rich text libraries out there—Draft.js, Prosemirror, Quill, etc. What I found was that while getting simple examples to work was easy enough, once you started trying to build something like Medium, Dropbox Paper or Google Docs, you ran into deeper issues...

  • The editor's "schema" was hardcoded and hard to customize. Things like bold and italic were supported out of the box, but what about comments, or embeds, or even more domain-specific needs?

  • Transforming the documents programmatically was very convoluted. Writing as a user may have worked, but making programmatic changes, which is critical for building advanced behaviors, was needlessly complex.

  • Serializing to HTML, Markdown, etc. seemed like an afterthought. Simple things like transforming a document to HTML or Markdown involved writing lots of boilerplate code, for what seemed like very common use cases.

  • Re-inventing the view layer seemed inefficient and limiting. Most editors rolled their own views, instead of using existing technologies like React, so you have to learn a whole new system with new "gotchas".

  • Collaborative editing wasn't designed for in advance. Often the editor's internal representation of data made it impossible to use to for a realtime, collaborative editing use case without basically rewriting the editor.

  • The repositories were monolithic, not small and reusable. The code bases for many of the editors often didn't expose the internal tooling that could have been re-used by developers, leading to having to reinvent the wheel.

  • Building complex, nested documents was impossible. Many editors were designed around simplistic "flat" documents, making things like tables, embeds and captions difficult to reason about and sometimes impossible.

Of course not every editor exhibits all of these issues, but if you've tried using another editor you might have run into similar problems. To get around the limitations of their API's and achieve the user experience you're after, you have to resort to very hacky things. And some experiences are just plain impossible to achieve.

If that sounds familiar, you might like Slate.

Which brings me to how Slate solves all of that...


Principles

Slate tries to solve the question of "Why?" with a few principles:

  1. First-class plugins. The most important part of Slate is that plugins are first-class entities. That means you can completely customize the editing experience, to build complex editors like Medium's or Dropbox's, without having to fight against the library's assumptions.

  2. Schema-less core. Slate's core logic assumes very little about the schema of the data you'll be editing, which means that there are no assumptions baked into the library that'll trip you up when you need to go beyond the most basic use cases.

  3. Nested document model. The document model used for Slate is a nested, recursive tree, just like the DOM itself. This means that creating complex components like tables or nested block quotes are possible for advanced use cases. But it's also easy to keep it simple by only using a single level of hierarchy.

  4. Parallel to the DOM. Slate's data model is based on the DOM—the document is a nested tree, it uses selections and ranges, and it exposes all the standard event handlers. This means that advanced behaviors like tables or nested block quotes are possible. Pretty much anything you can do in the DOM, you can do in Slate.

  5. Intuitive commands. Slate documents are edited using "commands", that are designed to be high-level and extremely intuitive to write and read, so that custom functionality is as expressive as possible. This greatly increases your ability to reason about your code.

  6. Collaboration-ready data model. The data model Slate uses—specifically how operations are applied to the document—has been designed to allow for collaborative editing to be layered on top, so you won't need to rethink everything if you decide to make your editor collaborative.

  7. Clear "core" boundaries. With a plugin-first architecture, and a schema-less core, it becomes a lot clearer where the boundary is between "core" and "custom", which means that the core experience doesn't get bogged down in edge cases.


Demo

Check out the live demo of all of the examples!


Examples

To get a sense for how you might use Slate, check out a few of the examples:

  • Plain text — showing the most basic case: a glorified <textarea>.
  • Rich text — showing the features you'd expect from a basic editor.
  • Markdown preview — showing how to add key handlers for Markdown-like shortcuts.
  • Inlines — showing how wrap text in inline nodes with associated data.
  • Images — showing how to use void (text-less) nodes to add images.
  • Hovering toolbar — showing how a hovering toolbar can be implemented.
  • Tables — showing how to nest blocks to render more advanced components.
  • Paste HTML — showing how to use an HTML serializer to handle pasted HTML.
  • Mentions — showing how to use inline void nodes for simple @-mentions.
  • See all the examples...

If you have an idea for an example that shows a common use case, pull request it!


Documentation

If you're using Slate for the first time, check out the Getting Started walkthroughs and the Concepts to familiarize yourself with Slate's architecture and mental models.

If even that's not enough, you can always read the source itself, which is heavily commented.

There are also translations of the documentation into other languages:

If you're maintaining a translation, feel free to pull request it here!


Packages

Slate's codebase is monorepo managed with Lerna. It consists of a handful of packages—although you won't always use all of them. They are:

PackageVersionSizeDescription
slateSlate's core data model logic.
slate-historyA plugin that adds undo/redo history to Slate.
slate-hyperscriptA hyperscript tool to write JSX Slate documents!
slate-reactReact components for rendering Slate editors.

Contributing!

All contributions are super welcome! Check out the Contributing instructions for more info!

Slate is

项目侧边栏1项目侧边栏2
推荐项目
Project Cover

豆包MarsCode

豆包 MarsCode 是一款革命性的编程助手,通过AI技术提供代码补全、单测生成、代码解释和智能问答等功能,支持100+编程语言,与主流编辑器无缝集成,显著提升开发效率和代码质量。

Project Cover

AI写歌

Suno AI是一个革命性的AI音乐创作平台,能在短短30秒内帮助用户创作出一首完整的歌曲。无论是寻找创作灵感还是需要快速制作音乐,Suno AI都是音乐爱好者和专业人士的理想选择。

Project Cover

有言AI

有言平台提供一站式AIGC视频创作解决方案,通过智能技术简化视频制作流程。无论是企业宣传还是个人分享,有言都能帮助用户快速、轻松地制作出专业级别的视频内容。

Project Cover

Kimi

Kimi AI助手提供多语言对话支持,能够阅读和理解用户上传的文件内容,解析网页信息,并结合搜索结果为用户提供详尽的答案。无论是日常咨询还是专业问题,Kimi都能以友好、专业的方式提供帮助。

Project Cover

阿里绘蛙

绘蛙是阿里巴巴集团推出的革命性AI电商营销平台。利用尖端人工智能技术,为商家提供一键生成商品图和营销文案的服务,显著提升内容创作效率和营销效果。适用于淘宝、天猫等电商平台,让商品第一时间被种草。

Project Cover

吐司

探索Tensor.Art平台的独特AI模型,免费访问各种图像生成与AI训练工具,从Stable Diffusion等基础模型开始,轻松实现创新图像生成。体验前沿的AI技术,推动个人和企业的创新发展。

Project Cover

SubCat字幕猫

SubCat字幕猫APP是一款创新的视频播放器,它将改变您观看视频的方式!SubCat结合了先进的人工智能技术,为您提供即时视频字幕翻译,无论是本地视频还是网络流媒体,让您轻松享受各种语言的内容。

Project Cover

美间AI

美间AI创意设计平台,利用前沿AI技术,为设计师和营销人员提供一站式设计解决方案。从智能海报到3D效果图,再到文案生成,美间让创意设计更简单、更高效。

Project Cover

AIWritePaper论文写作

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。

投诉举报邮箱: service@vectorlightyear.com
@2024 懂AI·鲁ICP备2024100362号-6·鲁公网安备37021002001498号