When comparing Spacemacs 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 Spacemacs is ranked 19th. 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
Ranked in these QuestionsQuestion Ranking
Pros
Pro Combines the best parts of Vi and Emacs
Spacemacs combines the Emacs platform (with the full power of the Emacs plugin ecosystem) and the Vi keybindings (via EViL), all in the same box.
Pro Simple but powerful configuration architecture
At the heart of Spacemacs, the configuration layers group packages configuration into semantic units that can be toggled on and off. The architecture is simple but powerful, allowing the user to easily manage configuration dependencies between hundreds of packages.
Pro Community-driven configuration
Spacemacs is the biggest community-driven Emacs starter-kit.
Pro Above average documentation quality
Documentation is mandatory for each new configuration layer and can be accessed directly within the editor in Org format.
Pro Cross-platform
Emacs runs on Gnu/Linux, Mac OS X, and Windows.
Pro Completely configured out of the box
Stuff like version control, file management, good default theme are all configured out of the box.
Pro Mnemonic and consistent keybindings
Space-lead key bindings are organized in mnemonic namespaces. For instance, buffer actions are under SPC b
, file actions are under SPC f
, project actions are under SPC p
, search actions are under SPC s
, and so on. Keybindings are consistent across the whole distribution thanks to a set of conventions.
Pro Can be controlled fully with the keyboard
There's no need to reach for the mouse again since Spacemacs can be fully controlled with keyboard.
Pro Gradual learning curve
Evil package is a first class citizen and Spacemacs embraces it from day one. Evil package allows Vim users to be productive very quickly while still allowing regular Emacs users to use Spacemacs.
Pro Remote file editing
Files can be edited in Spacemacs remotely.
Pro Great note-taking and agenda mode built-in
Allows for great organization applications that can be saved in future-proof format, plain text, can be integrated with org, LaTeX, markdown, HTML, Literate Programming and be committed to source control.
Pro Offers a number of practical features
Spacemacs has some great features for taking notes, tracking to-do lists, and tracking time.
Pro LaTeX support
LaTeX allows for auto-completion, syncing, and more.
Pro Manage many code bases easily
Pro Daemon support
Has great daemon support, which can mitigate the issue of slow startup.
Pro Can work in terminal mode
Sometimes you only have terminal access, over ssh or something.
Pro Great CFEngine support
Syntax highlighting and org-babel extensions.
Pro Great support from the community
The community surrounding Spacemacs is very active and there is a welcoming gitter chat for users to ask questions.
Pro Lowers the risk of RSI by using the spacebar as leader
Spacemacs got its name from the fact that it is uses the space bar as a default leader key. The key was chosen because it is easy to press and to hopefully lower the risk of RSI.
Pro Fast-paced development
New functionalities and fixes are added to Spacemacs every day, while release cycles are short.
Pro Easily extended with community plugins
Pro Works well with Common Lisp
Pro Manage R files easily
Pro Great Clojure support
Pro Excellent support for Elixir programming language
Elixir layer which uses the Alchemist package is the best way to edit Elixir code out there.
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 Can be quite glitchy at times
Spacemacs combines many packages from many different authors that were never designed to work together. Sometimes they interact in unexpected ways, and things randomly break as one package interferes with another's features. This combined with frequent package updates and necessary customization by selection of layers and packages, can make these glitches hard to reproduce. It takes a lot of emacs know-how to fix these problems. Fortunately there is a very active community willing to help with these problems, but it might take a while.
Con Complex learning difficulty
You must be familiar with either Vim or Emacs. In addition, you should be familiar with the unique features of Spacemacs. The Layer concept of replacing Emacs settings is still difficult and abstract compared to modern editors.
Con Functionality layers of complicated configuration
To configure Spacemacs, settings for Emacs/Evil/Spacemacs may need editing. It's not always clear which need to be changed or how to change settings globally: sometimes hooks are needed, other times Spacemacs provides options.
Con High CPU and unresponsive at times
There are occasions when Spacemacs would suddenly consume a LOT of CPU and then other times would become completely unresponsive. This instability took place only 6 months or so ago. Restarting Spacemacs can fix it for a while but perhaps this issue is already fixed in newer versions.
Con Relative low startup time
Although configuration is heavily loaded, the starting time of Spacemacs is usually between two and five seconds. Emacs can be run as a daemon though which reduces the client's startup time to a few milliseconds. Still not as bad as other editors though, especially Electron based ones like VSCode or Atom.
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.