A further comment on discoverability.
If I were searching for Julia repos on pdes, the following 6 are the ones I’d try:
1 #partial-differential-equations 15 repos: https://github.com/topics/partial-differential-equations?l=julia
2 #pde 11 repos: pde · GitHub Topics · GitHub
3 #pdes 2 repos: pdes · GitHub Topics · GitHub
4 Observer: https://juliaobserver.com/searches?utf8=✓&term=pde
5 Filter by tag: https://pkg.julialang.org/docs/
6 Svaksha’s: https://github.com/svaksha/Julia.jl
Of course you wouldn’t discover repos that are not tagged or registered.
In none of these searches would you discover @jlchan’s repo on DG methods for pdes or several other nice repos in @PetrKryslUCSD’s survey.
The R community’s solution is CRAN Task Views, for example see Differential Equations.
Python is trying Python Task Views.
To be clear before CRAN Task Views R users have informally posted links to packages in their domains on their blogs etc. However, having something in an official place w/ volunteers who maintain it is more reliable.
There have been multiple requests for a Julia Task Views. I would be happy to volunteer to organize one on Data sources. @StefanKarpinski @viralbshah @jeff.bezanson would it be possible to create a Julia Task Views w/ volunteers? Possibly (Community) below organizations?