brunsli VS Lepton

we need Native Support for Python (or at least a reliable package) for managing the JXL files and up to this point brunsli (JXL_Patch) (which I couldn't make heads or tails of it) and jxlpy (which had problems installing on Python 3.11) were the only solutions I could find that came close to solving this issue, so ... what should we do?

To add to this, it's already possible to give this a try via building Brunsli from source:

https://github.com/google/brunsli

I personally use the cbrunsli/dbrunsli cmdline programs to archive old high-resolution JPEG photos that I've taken over the years. Having a gander at one subdirectory with 94 photos @ 354 MB in size, running cbrunsli on them brings the size down to 282 MB, which brings in savings of about 20%. And if I ever wanted to convert them back to JPEG, each file would be bit-identical to the originals.

Perhaps it's a little early to trust my data to JPEG XL/Brunsli, but I've ran tests comparing hundreds of MD5 checksums of JPEG files losslessly recreated by Brunsli, and have not yet ran into a single mismatch yet.

I can only say that I am very excited for the day that JPEG XL truly hits primetime.

`cask "lepton"` [link][oss] + `cask "masscode"` [link][oss] for storing snippets as github gists or locally

I use Lepton as my GitHub Gists manager. You actually don't need lepton for this but I like it.

For one liners and small snippets I uses a great open source app call Lepton which is a snippet manager that saves to your github accounts gists. They ate stored private by default, so its perfect to securely save and version small bits and pieces that don't fit into their own repository