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Pieces Copilot vs Scribbler
Pieces Copilot provides AI code suggestions, whereas Scribbler runs full AI models in the browser.
Pieces CopilotThe AI coding sidekick that understands your workflowSide 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.