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Add to SafariWhen comparing Kakoune vs Jupyter, the Slant community recommends Jupyter for most people. In the question“What are the best Python IDEs or editors?” Jupyter is ranked 8th while Kakoune is ranked 28th. The most important reason people chose Jupyter is:
Because the editor is a web app (the Jupyter Notebook program is a web server that you run on the host machine), it is possible to use this on quite literally any machine. Morever, you can have Jupyter Notebook run on one machine (like a VM that you have provisioned in the cloud) and access the web page / do your editing from a different machine (like a Chromebook).
Specs
Question Ranking
Pros
Pro Will be familiar to vim users
Kakoune first started as a rewrite from scratch of vim, but then ended up being another text editor altogether. So it's inspired in a lot of ways from vim.
Pro More modern than vim
Pro Good UNIX citizen
It follows the UNIX philosophy by doing one thing well (text editing) and interfaces nicely with other CLI tools.
Pro Text selection mechanism
Kakoune works on selections, which are oriented, inclusive range of characters, selections have an anchor and a cursor character. Most commands move both of them, except when extending selection where the anchor character stays fixed and the cursor one moves around.
Pro Very expressive
Kakoune provides a very expressive set of commands, including various objects selection (paragraph, blocks, words), alignment support, conditional selection filtering...
This set of command is expressive enough to implement all the provided auto indentation logic.
Pro Actively developed and supported
Pro Self-documenting
A helper pops up when typing commands.
Pro Simpler and more consistent than Vim
Some keys select, other keys operate on the selections. Shift is used to extend the selection, alt is used for alternative behavior, e.g. reverse the search direction. No inconsistencies like Y which means yy and not y$ in Vim.
Pro Web-based development allows for usage literally anywhere
Because the editor is a web app (the Jupyter Notebook program is a web server that you run on the host machine), it is possible to use this on quite literally any machine. Morever, you can have Jupyter Notebook run on one machine (like a VM that you have provisioned in the cloud) and access the web page / do your editing from a different machine (like a Chromebook).
Pro Interactive
Most IDEs require you to separately run Python to see the output of a particular piece of code. By contrast, Jupyter Notebook can evaluate Python statements inline, giving you the immediate feedback of interactive use of the interpreter while keeping your changes saved.
Pro Graphing , charting, and other math/numeric capabilities
The interactive editor is able to display complex equations, charts, graphs, etc. making this particular editor very well-regarded among data scientists.
Pro Open source
Because it is open source, you can review the source code and also propose extensions and fixes to it. It is also possible to fork the repository and make changes to it to customize it for your specific use case.
Pro Supports multiple different programming languages
Jupyter Notebook, formerly known as ipython, used to be specific to Python; however, in recent iterations, it has become capable of general purpose usage for any programming language. Thus it is possible to use this and have a consistent developer workflow, regardless of language.
Cons
Con Small community
Con No real Windows support
Will compile under CygWin.
Con Default bindings do not play nice with OS X (Alt+???)
Con Written in C++
Con Notebook-style makes reusing functions annoying
Con Interactive usage takes some getting used to
While the interactiveness is extremely, extremely powerful and useful, it does take a little bit of work getting to a point where it is "normal".
Con First time setup is more difficult than for other IDEs
Since Jupyter Notebook really requires two programs (the server and your browser) getting things setup in a way that works for you is a little more complex than for an ordinary IDE. For example, if you run the server and edit on the same machine, creating a little wrapper script that starts the server and then launches the browser pointing to it and gives an icon to this script is a small amount of setup but is more involved than a simple installer for other IDEs. Likewise, if you do remote development, creating a URL that will lazily spawn the Jupyter Notebook server and then turn it down when it is no longer in use is also a little bit of work to setup.
Con Non-trivial security configuration for remote access
By default, the editor is only accessible from localhost; however, if you want to run Jupyter on a VM in the cloud and do your editing through a web browser on a different computer (e.g. a Chromebook), there is some non-trivial security work to ensure that it is set up in a secure manner.
