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Jig Dev VS Observable Notebooks

Compare Jig Dev VS Observable Notebooks and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Jig Dev logo Jig Dev

Jig is javascript coding tool for business side developers

Observable Notebooks logo Observable Notebooks

The portfolio and technical blog of Chris Henrick – provider of professional web development, data visualization, GIS, mapping, & cartography services.
  • Jig Dev Landing page
    Landing page //
    2022-03-03
  • Observable Notebooks Landing page
    Landing page //
    2021-06-14

Jig Dev videos

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Observable Notebooks videos

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Observable Notebooks and D3.Js with Amelia Wattenberger and Vlad Korobov

Category Popularity

0-100% (relative to Jig Dev and Observable Notebooks)

Jig Dev

Observable Notebooks

Data Science Notebooks
34 34%
Data Science Notebooks
66% 66
Data Science And Machine Learning
47 47%
Data Science And Machine Learning
53% 53
Python IDE
36 36%
Python IDE
64% 64
Developer Tools
100 100%
Developer Tools
0% 0

User comments

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What are some alternatives?

When comparing Jig Dev and Observable Notebooks, you can also consider the following products

Kajero - Interactive JavaScript notebooks - create good-looking, responsive, interactive documents.

Jupyter - 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.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Calculist - The open-source, web-based thinking tool that facilitates effective thinking for solving problems.

BeakerX - Open Source Polyglot Data Science Tool

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

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