When comparing Geany 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 Geany is ranked 10th. 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 Light and fast
Geany is very lightweight thanks to the smaller offering of features.
Pro Built-in plugin manager
Geany has a built-in plugin manager which can be used to install plugins and add new powerful features to the editor.
Pro Quick search on large files
In Geany you technically search once for a whole search query, unlike Gedit, where once you start typing, the file is searched for in accordance with each substring of what you're typing, all the while leading to terribly annoying lag.
Pro Cross platform
Geany is a cross platform editor, very similar to Notepad++ in Windows.
Pro Build in terminal
Press F5 and code will run without the need to switch between windows.
Pro Actively developed Free (as in freedom) Software
This software respects your freedom.
Pro Real syntax parsing (not just coloring)
Hence it is capable of showing the methods and inner classes of, e.g., a Java source file.
Pro Simple project management
Pro Native
It is a real app and not another frankenstein web/electron app. This means it runs great and doesn't extraordinary amounts of RAM.
Pro Options in the menu are easy to find
For example, there is an easy way to change the font and theme in the View menu. No need to search through several syntax styles like in Notepad++ just to be able to change the used font.
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 Not very advanced
Although it has some IDE features, it is not as advanced as some other text editors that can be extended to contain IDE functionality.
Con Windows installer not digitally signed
Con Not many third-party plugins
Geany is not as popular as some other text editors with plugin support. As such it's understandable that it's missing lots of powerful plugins available in other editors.
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.