A large part of my current project involves looking at other companies or services that offer Jupyter notebooks. The University has decided that it wants to provide notebooks but we also have to justify creating our own service. If there is something else that does what we need is it worth making our own version of it?
With this in mind, I have been creating a shortlist of services that are comparable and also drawing up a list of criteria to compare.
Here is the list of services:
And here’s a list of the criteria against which they will be compared:
Pricing (how much do they charge and how do they charge it, what do you get access to when you pay, is there a free tier etc.)
Technical Specifications (e.g. RAM, CPU cores, Storage)
Extensions Available (e.g. nbgrader, RISE)
Supported Languages (There are many varied use cases throughout the university so how do we make sure all are supported, how quickly does the service add requested kernals.)
Focus/Audience (e.g. Azure is focused on Machine Learning, Goolge Colab is focused on collaborative programming)
Business Model (e.g. Azure is currently in a preview stage and may not be continued)
Community (This includes using the community as a measure of sector involvement and also how quickly the service administrators respond to feature requests or issues)
This comparison will take place over the summer and then I will publish our results. This is all about making sure that we are providing the best service that suits the needs of our users.
If you have anything you would like to add or think we have left any service or criteria out then let me know.