next-ai-draw-io vs plate-playground-template
Two of the top projects in AI editors and workflow canvases, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
next-ai-draw-io
Chat with an AI to create and edit draw.io diagrams
plate-playground-template
Next.js rich-text editor template on Plate with AI commands
Verdict
next-ai-draw-io ranks higher, 84 to 54. Of the 4 score parts we measure for both, next-ai-draw-io leads on 2, plate-playground-template on 1 and 1 is even.
- Adoptionnext-ai-draw-io leads by 74 points, 85 to 11: a wide gap.
- FreshnessEven at 100.
- Maintenancenext-ai-draw-io leads by 56 points, 95 to 39: a wide gap.
- Agent-readyplate-playground-template leads by 85 points, 85 to 0: a wide gap.
Pick next-ai-draw-io if you are
Engineers who want AI-generated, hand-editable architecture and flow diagrams
- Output is a normal draw.io file, editable by hand and exportable to four formats
- Per-change version history with compare, restore and Ctrl+Z undo
Pick plate-playground-template if you are
React teams adding an AI rich-text editor
- Plate AI editor installable with one shadcn command
- UploadThing file uploads already wired
| What we compare | next-ai-draw-io | plate-playground-template |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 85, widely used | 11, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 95, healthy | 39, patchy |
| Agent-ready | 0, none | 85, ready |
| Facts from GitHub and the README | ||
| Stars | 36.5k | 242 |
| License | Apache-2.0 (permissive) | MIT (permissive) |
| Last commit | Nov 2026 | Oct 2026 |
| Last release | Oct 2026 | None published |
| Language | TypeScript | TypeScript |
| Docker | Yes | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Not stated |
next-ai-draw-io
Next.js app that has an LLM generate draw.io XML on a real draw.io canvas, so diagrams stay editable by hand and export as .drawio, .png, .svg or .drawio.svg. Each AI change is saved as a version you can compare, restore or undo. It also ships as a desktop app and as an MCP server (@next-ai-drawio/mcp-server) for agents such as Claude Code, Cursor and VS Code.
Who it is for: Engineers who want AI-generated, hand-editable architecture and flow diagrams
Strengths
- Output is a normal draw.io file, editable by hand and exportable to four formats
- Per-change version history with compare, restore and Ctrl+Z undo
- 25 providers including Ollama and an OpenAI-compatible preset; browser-entered keys stay local
- Also runs as an MCP server and desktop app; admin panel for models and quotas
Weaknesses
- Small models tend to produce broken diagrams; README recommends a capable model
- Default provider is AWS Bedrock, so provider setup is needed before first run
- Hosted demo has a usage limit unless you supply your own API key
- TypeScript, AWS Bedrock, OpenAI, Anthropic, Google AI
- Needs LLM provider API key (or Ollama for local models), Node.js and npm
- Docker
- env example file
plate-playground-template
Next.js 16 template with the Plate editor, shadcn/ui and the Plate AI kit (installable via npx shadcn add @plate/editor-ai), plus an MCP component config. Uploads go through UploadThing with a development-only check in src/lib/uploadthing.ts; AI calls use an AI Gateway key the user enters in editor settings, routed through example API routes. For teams wanting a Notion-style editor with AI inside a React app.
Who it is for: React teams adding an AI rich-text editor
Strengths
- Plate AI editor installable with one shadcn command
- UploadThing file uploads already wired
- AI routes use the caller's key, so no shared server credential by default
Weaknesses
- Upload auth is a development stub; replace before production
- Per-user AI usage limits are left to you
- README is short; features are documented on platejs.org
- No tests; requires bun
- TypeScript, Vercel AI Gateway via AI SDK
- Needs UploadThing token, Vercel AI Gateway key (user-supplied)
- GitHub template
- env example file
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