
Jupyter
Wolfram Language
Deepnote
iPython
SolveMyBook
GitNotebooks
Colaboratory
Automate code & data workflows with interactive Elixir notebooks
Jupyter
Nodebook
Weblab.ai
RunKit
iodide
Blabr
Wolfram Language
JavaScript notebook tool for experimenting in JavaScript. Runs in the browser without a backend.

Which is more popular?
Based on our record, Livebook should be more popular than Scribbler JavaScript Notebook. It has been mentioned 7 times since March 2021.
Website, pricing, platforms and company facts side by side.
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Scribbler JavaScript Notebook
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| Website | livebook.dev | scribbler.live |
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What each product offers, as listed by its team.

Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.

No analysis of Livebook yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Livebook and Scribbler JavaScript Notebook. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

How's the maturity compared to Livebook? https://livebook.dev/. - Source: Hacker News / almost 2 years ago
2) Start using IEx or LiveBook for any day to day scripting that I would normally use Python for. - Source: dev.to / about 2 years ago
Definitely look into Livebook and Elixir, and the whole ecosystem around it, including: - https://github.com/elixir-nx/axon Multi-dimensional arrays (tensors) and numerical definitions for Elixir - https://github.com/elixir-nx/scholar... - Source: Hacker News / about 2 years ago
Using its API, you can run simulations for heat conduction, front propagation, or even solve a general-form partial differential equation. And you can do all of this directly in your browser (for web apps), in a Node.js environment, or... - Source: dev.to / 12 months ago
When comparing Livebook and Scribbler JavaScript Notebook, you can also consider the following products.

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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Knowledge-based programming
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Browser-based REPL notebook supporting many programming languages.
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A collaboration platform for data scientists
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Weblab lets you write and evaluate Javascript in an interactive notebook. It gives you a great environment to build Machine learning and Data Science applications.
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iPython provides a rich toolkit to help you make the most out of using Python interactively.
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