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I think the closest thing is https://github.com/kevinlawler/kona


Kevin Lawler and Scott Locklin (posts on here sometimes) tried to make a tsdb similar to kdb+ called kerf I think. I don't think it worked out, but it would've been nice to have a more affordable competitor.


FWIIW jd is pretty good and is definitely more affordable than Kx or Kerf.


Thanks Scott! I remember reading one of your posts somewhere talking about Jd. I'm curious if you still use it, or if it or your admittedly non-expert J knowledge made sticking with R, Torch7, Lush, Tensorflow...etc more tenable. I figure you might also use Kerf. Speaking on that subject, would you and Kevin ever open-source the code if you're not selling it anymore?


I use jd on my side projects; it's great. J in general is what I invest in for side projects; powerful tool, best user community and decent support for the types of things I need.


Thanks for the recommendation. I'll keep that in mind. If you ever get the chance I'd love to read some more J related articles as I find the language weirdly fascinating even though it ain't easy. The community doesn't write a lot of marketing junk either. I've been reading through "J the Natural Language for Analytic Computing" to scratch the itch when it comes up. I'm always impressed when I find that it has things like derivatives as a native primitive.


That's a really badass trick when you look at how it is implemented. Another cool thing to look at is Obverse. https://code.jsoftware.com/wiki/Vocabulary/Inverses

There's a lot of material on their website, though it's not well organized and some of it is out of date.

https://code.jsoftware.com/wiki/Main_Page

I find it rewarding to screw around with, though the only jobs you're gonna get are K/Kx related.


I've heard of obverse, but had forgotten about it. That is neat. Thanks for sharing.


A more up to date version: https://github.com/JohnEarnest/ok




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