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Lisp-stat: Lisp environment for statistical computing

andsoitis

> © 2025 Symbolics Pte Ltd

Seems to be this company in Singapore: https://opencorporates.com/companies/sg/201923570D

As opposed to the Symbolics company: https://en.wikipedia.org/wiki/Symbolics

nothisagain

They also infringed on the original lisp-stat https://homepage.stat.uiowa.edu/~luke/xls/xlsinfo/ without so much as an acknowledgement a previous time this was spammed.

dapperdrake

How big is the confidence interval on this?

Joel_Mckay

To be fair, Lisp has a tradition of concurrent unrelated variants.

https://www.youtube.com/watch?v=sV7C6Ezl35A

Yet, a failure to cite related parent projects certainly needs addressed. Maybe forgivable if it was a first year student. =3

kscarlet

And there don't seem to be much non-trivial code written under this project, it's just loosely putting together some existing work and adding some READMEs with the same format.

A bit disorienting for someone looking for statistical computing environment in CL, to say the least. Maybe I'm stupid but this is no where near what (a somewhat complete environment) it makes itself look like.

submeta

Chose the right tool for the right task. I‘ll go with R and RStudio or even Python for data analysis and statistics. Opting for Lisp is like trying to use a swiss knife to cut a tree just because you love your swiss knife.

anonzzzies

... which is not a bad reason in some cases.

I for instance find Python the most horrible language + ecosystem outside the js ecosystem (but I like js the language more and that's saying something), so I would always opt for lisp (or pen + paper) over Python. R / Rstudio are nice though.

I don't think it really tracks either; Lisp is quite ergonomic for this type of thing and, if you have been doing it for a while, you'll have your own tooling to work faster/more efficient in that lisp and of course, the comparison falls down then as the swiss knife now has a chainsaw option which is as good or better than other options to cut down trees.

TurboHaskal

Yeah I don't get it either. Lisp is perfectly fine for this task although probably makes less sense now that Julia is a thing.

Reminder that before Python was used for data science, people used things like BioPerl and PDL and that didn't stop people from working on pandas and the like.

Also let people have fun.

awaymazdacx5

the lispworks test package typically contains xlib-stat over tcp-udp transport protocls that should designate BMP-strings

fud101

I loved Xlisp-stat, the book was gorgeous and when I discovered Lisp-stat, i was using a Windows XP machine in a college Lab machine - it just worked and I used it as my first lisp. Such a good piece of software. Not sure about the new package - I'm long past my lisping days now.