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Jupyter

Stacks566

Followers435

+ 1

Votes18

Org Mode

Stacks5

Followers2

+ 1

Votes0

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Jupyter vs Org Mode: What are the differences?

Developers describe Jupyter as "Multi-language interactive computing environments". The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. On the other hand, Org Mode is detailed as "Org: an Emacs Mode for Notes, Planning, and Authoring". Org mode is for keeping notes, maintaining TODO lists, planning projects, and authoring documents with a fast and effective plain-text system.

Jupyter and Org Mode are primarily classified as "Data Science Notebooks" and "Project Management" tools respectively.

Jupyter and Org Mode are both open source tools. Jupyter with 6.12K GitHub stars and 2.58K forks on GitHub appears to be more popular than Org Mode with 3 GitHub stars and 3 GitHub forks.

What is Jupyter?

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

What is Org Mode?

It is used for keeping notes, maintaining TODO lists, planning projects, and authoring documents with a fast and effective plain-text system

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Why do developers choose Jupyter?

Why do developers choose Org Mode?

6
In-line code execution using blocks
5
In-line graphing support
2
Can be themed
2
LaTex Support
2
Multiple kernel support
1
HTML export capability
0
Export to python code

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What companies use Jupyter?

What companies use Org Mode?

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What tools integrate with Jupyter?

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What are some alternatives to Jupyter and Org Mode?

Apache Zeppelin

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

PyCharm

PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!

IPython

It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing.

SageMath

It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.

Franchise

Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.

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Decisions about Jupyter and Org Mode

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Reviews of Jupyter and Org Mode

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How developers use Jupyter and Org Mode

Mark Melnykowycz uses

Jupyter

When integrated with cloud platforms it's an easy way to code and test data science projects. The web-based nature makes it easy to transition between coding on your local machine or the cloud.

Eliana Abraham uses

Jupyter

EECS 445 and MDST

Used it for that sometimes mostly I tried to use it for something I was doing in MDST. I have failed to actually properly use it to it's full potential.