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Scribbler

#2 Daily Winner

Open-source JavaScript notebook for writing, running,

Developer ToolsDevOps & Cloud
1 upvotes
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What is Scribbler?

Scribbler is an open-source JavaScript notebook that runs entirely in your browser. Powered by WebGPU, it lets you run large language models, generate images, train machine learning models, and create data visualizations — all on-device, with no server, no install, and no login required. You get the full power of AI without ever sending your data to the cloud.

The notebook interface mixes interactive JavaScript cells with HTML and Markdown cells. Load any AI library dynamically from a CDN — TensorFlow.js, Transformers.js, ONNX Runtime, WebLLM, and more — or use built-in utilities for quick plotting and file I/O. Execute code with a single click or keyboard shortcut to see LLM responses, generated images, or interactive charts inline.

Notebooks are saved as portable .jsnb files that you can share via URL, export as HTML, or push to GitHub. Because Scribbler is just static files, you can self-host it anywhere — even offline — for air-gapped or enterprise environments. It’s completely free, open source, and privacy-focused.

Whether you’re prototyping a browser-based AI agent, analyzing data, or teaching machine learning, Scribbler provides a frictionless environment right in your browser.

How to use Scribbler

  1. 1

    Open app.scribbler.live in a WebGPU-enabled browser (no login needed).

  2. 2

    Load an AI library with one line, e.g., await scrib.loadWebLLM('Llama-3.1-8B').

  3. 3

    Write JavaScript, HTML, or Markdown in interactive notebook cells.

  4. 4

    Execute cells to see generated images, chat responses, or charts inline.

  5. 5

    Save and share your notebook as a .jsnb file or via a unique URL.

Key features

Run popular open-source LLMs like Llama, Phi, and Gemma via WebLLM on-device.

Generate images with Stable Diffusion using WebNN and ONNX Runtime Web.

Train and run ML models with TensorFlow.js, Brain.js, and ONNX Runtime Web.

Load any library dynamically from CDNs — no bundler or setup required.

Share notebooks as .jsnb files, via URL, or push directly to GitHub.

Use cases

  • Generate images from text prompts without paying for cloud APIs or leaving your device.
  • Build a private on-device LLM chatbot for coding assistance or Q&A.
  • Train a neural network for classification tasks entirely in the browser.
  • Analyze CSV datasets and create interactive Plotly or D3 visualizations.
  • Prototype AI-powered web features without setting up any backend infrastructure.

Best for

Web developersAI/ML enthusiastsPrivacy-conscious usersData scientistsEducators and studentsIndie makers

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Frequently asked questions about Scribbler

Common questions to help you decide if Scribbler is right for you.

Yes, Scribbler is completely free and open source. You can use it online at app.scribbler.live without any registration or payment. It also runs locally in your browser, requiring no server costs.

Scribbler uses the WebGPU API to run AI models directly in your browser. All computation happens on your device's GPU, so no server or cloud API is needed. This enables private, low-latency inference.

You can run open-source LLMs for chat, generate images with Stable Diffusion, train ML models with TensorFlow.js, visualize data, and much more — all inside interactive notebook cells.

No installation is required. Just open app.scribbler.live in a modern browser (Chrome, Edge, or any WebGPU-enabled browser). You can also self-host the static files for offline use.

Yes, all processing happens on your device. Your data never leaves the browser — no tracking, no server, and no third-party API calls unless you explicitly configure them.

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