This looks really interesting.
Can anyone comment on how mature the R and python support is? I'm coming at this from an ML/data science background, so anything that speeds up the above while maintaining broad library support would be a great help.
Can anyone comment on how mature the R and python support is? I'm coming at this from an ML/data science background, so anything that speeds up the above while maintaining broad library support would be a great help.
- Graal.python is pretty new and its really early days. So even basic language things might break right now. But we are investing a lot of resources in Python support.
You can check for compatibility of packages here (not yet for Python): http://graal-staging.us.oracle.com/docs/reference-manual/com...
Would love to use this in Rstudio for exploratory analysis which would also need ggplot to work. Quite often have to cancel long running tasks when exploring a data set, so even if its a bit slower for interactive tasks but much faster for longer running tasks would be huge. E.g. typical interactive finished in 1 second instead of 50ms, but large loops that would take an hour finish in 10 minutes.
Here is the correct link: http://www.graalvm.org/docs/reference-manual/compatibility/
(Accidentally posted the internal link :D)