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Pieces Copilot vs Scribbler

Pieces Copilot provides AI code suggestions, whereas Scribbler runs full AI models in the browser.

Side by side

What it is
Pieces Copilot:Pieces Copilot captures your work history and provides searchable, contextual AI assistance across apps.
Scribbler:Scribbler is an in-browser, no-backend notebook for running JavaScript AI, data science, and visualization.
Best for
Pieces Copilot:Context-aware AI assistance
Scribbler:Client-side AI notebooks
Who it’s for
Pieces Copilot:Developers and knowledge workers who need instant recall of their workflow.
Scribbler:Developers and data scientists who want client-side AI without servers.
Pricing
Pieces Copilot:Paid
Scribbler:Free
Plans
Pieces Copilot:Pro $18.99 per user / month · Enterprise $22.99 per user / month
Scribbler:—
Open source
Pieces Copilot:—
Scribbler:Yes, 378 GitHub stars
Works with
Pieces Copilot:Gmail, Outlook, Chrome, Arc, Safari, Slack, Microsoft Teams, Google Chat
Scribbler:TensorFlow.js, ONNX Runtime Web, Transformers.js, Plotly, D3, WebLLM, WebGPU
DevHunt upvotes
Pieces Copilot:63
Scribbler:13
Launched on DevHunt
Pieces Copilot:Mar 2024
Scribbler:Jan 2023

Pieces Copilot features

  • Live timeline. Chronological capture of research, chats, emails, notes, and meetings.
  • Searchable memory. Search, filter, and revisit any moment by time, topic, person, or tool.
  • One-click summaries. Generate stand-up updates, briefs, and recaps instantly from your context.
  • Multi-model support. Switch between Claude, Gemini, ChatGPT, and local models in a single plan.
  • MCP integration. Carry full history into any MCP-ready AI assistant such as Claude, Cursor, Codex.
  • Privacy controls. Data stored on-device by default; pause or disable capture per app.
  • Enterprise governance. Org-wide capture policies, approved providers, and custom API keys.

Scribbler features

  • Zero-setup. Runs entirely in the browser; no install, login, or backend required.
  • WebGPU acceleration. Uses WebGPU for near-native performance on LLMs, image generation and ML inference.
  • Dynamic library loading. Import TensorFlow.js, ONNX Runtime, Transformers.js, Plotly, D3 and more from CDNs on demand.
  • Interactive notebooks. Mix JavaScript, HTML, CSS and Markdown in live cells with inline output.
  • Privacy-first. All computation stays on the device; no data leaves the browser.
  • Share & collaborate. Export notebooks as .jsnb files, share via URL, or push/pull directly to GitHub.
  • Self-hostable. Pure static files can be hosted on any web server, S3 bucket or GitHub Pages.
  • Built-in AI models. Run Stable Diffusion, LLM chat, and TTS via WebNN and ONNX Runtime in the browser.

Based on each tool's website and DevHunt data. Details may change; check the official sites.