plate-playground-template vs tersa
Two of the top ai editors and workflow canvases, side by side: score, setup, license, activity and what each review found.
plate-playground-template
Next.js rich-text editor template on Plate with AI commands
tersa
Node canvas for chaining text, image and video models via AI Gateway
| What we compare | plate-playground-template | tersa |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 23, niche | 50, known |
| Freshness | 100, active | 59, recent |
| Maintenance | 55, fair | 0, weak |
| Easy to run | 33, some setup | 0, hard |
| Agent-ready | 85, ready | 0, none |
| Facts from GitHub and the README | ||
| Stars | 241 | 1k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Feb 2026 |
| Last release | None published | Feb 2026 |
| Language | Python | TypeScript |
| Docker | No | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
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
- Python, Vercel AI Gateway via AI SDK
- Needs UploadThing token, Vercel AI Gateway key (user-supplied)
- GitHub template
- env example file
tersa
Next.js 15 app with a ReactFlow canvas where you connect text, image and video nodes and run them through the Vercel AI SDK Gateway (25+ providers), with streaming output, reasoning display, cost indicators and TipTap for rich text. Canvas state persists in browser local storage; media goes to Vercel Blob. For developers who want a visual model playground to fork; no auth, database or server-side workflow storage.
Who it is for: Developers prototyping multi-model visual pipelines
Strengths
- One AI Gateway key reaches text, image and video models from 25+ providers
- Relative cost indicators and reasoning output per model
- ReactFlow, TipTap, shadcn/ui and Kibo UI already composed
Weaknesses
- Workflows live only in browser local storage
- No auth or multi-user support
- Vercel Blob required for media; Vercel-centric
- Last commit 2026-02; no tests
- TypeScript, Vercel AI SDK Gateway
- Needs Vercel AI Gateway credentials, Vercel Blob