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3xblah

The install for Anaconda is over 500MB.

If it is anything like k, the "shakti" binary is probably small, maybe under 260KB.

Is there a way to download just the shakti binary?

What are the restrictions on the trial version of shakti?

Is it time-limited (e.g., 30 days)?

Does it need an internet connection to be able to phone home? (I think FD/Kx started doing this with their 64bit trial.)

The backstory for all this is that Whitney sold his remaining interest in Kx around July of last year for around 53 million.

Quick US trademark search does not show any filings for a "shakti" mark that covers computer software.

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Just download it ‘manually’ https://anaconda.org/shaktidb/shakti/files and tar -xf

bin/k is 185K

Thank you! Exactly what I was looking for. Even give us a static binary.

Alas, I am getting "Illegal instruction (core dumped)". Will have to try another kernel.

You need avx

I guess I need to try a different CPU. Cheers.

There's miniconda which is much much smaller (a few megs), which can still install shakti AFAIK.

miniconda is just the package manager of anaconda, with no preinstalled packages.

License is here: https://shakti.com/license

No phoning home etc. although license does say you're limited to 30 days (although remains to be seen if/how that is enforced)

FWIW, kx didn't _have_ a 64bit trial before they released it with the phone-home stuff, before that trial was limited to 32bit only (still available & no connection required)

I did not mean to imply otherwise. The phoning home was introduced with the 64bit trial.

If I recall correctly, the 32bit trial used to time out after some number of hours after it was launched. This prevented, e.g., running it continuously as a server. Not sure if they still do that.

Going further back, I also recall early k trials that put limits on the size of the workspace.

Yeah the 32bit timeout was removed some time ago

If you just want to use the conda enviroment build / maintenance tool just install 'miniconda' from the Anaconda site.[1] You don't have to have a whole numpy/scipy/jupyter environment if you don't want it.

[1] https://docs.conda.io/en/latest/miniconda.html

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