Since JuliaBox sunset will take place on May 31st what are the best options to run Julia in the cloud for academic users? I don’t mind to pay a reasonable fee. Thank you in advance.
If you have institutional support, you can get a server running a jupyter kernel.
I do not have institutional support. Any alternatives?
Not real fast but good in a learning environment.
https://mybinder.org/ supports Julia, but the machines are not very beefy. It is the only free option I’m aware of.
https://visualstudio.microsoft.com/services/visual-studio-online/ is nice and works with Julia (after some config). You’ll get the VS Code UI with that and can use the Julia extension for it.
Cocalc is an alternative with a very slow free option and modest pay option.
You could ask local IT to set up a Jupyter server. If you don’t have a large number of users, a commodity box will be sufficient. The setup is quite simple.
I think cocalc and NextJournal will work.
You are right, https://CoCalc.com fully supports Julia. We provide Jupyter notebooks with Julia 1.0, 1.3.1 and 1.4 kernels, and continue to ugrade and maintain our Julia support since it is in high demand by an increasing number of CoCalc users. We also provide command line terminal Julia, syntax highlighting and splitting for editing .jl files, X11 graphics, and a 1-click JupyteLab server. CoCalc is sufficiently open source that you can run your own server (see https://github.com/sagemathinc/cocalc-docker), but we currently don’t have Dockerfile recipes that include Julia pre-installed (pull requests welcome).
Add some magic from here would help.
You can use google colab but it takes maybe 10 minutes each time you start as julia has to install.