calligrapher-ai VS krust

When I write a program I usually make it focused on a single thing that it's supposed to accomplish. For example, Calligrapher AI lets you type text and then "writes" the same text in human-like handwriting while you watch, and lets you save the image. Beep Knobs is just a board with knobs (albeit a fancy one) that lets you generate customized beeps. And Genetic Origins Heatmap does just what it sounds like, produces a world map indicating where your ancestors came from (using 23andMe DNA data, for example).

Someone else's copy: https://github.com/GirkovArpa/calligrapher-ai

Calligrapher.ai ported from JavaScript - uses Sciter

$bid, I will use this handwriting synthesizer to help recreate your logo.

I’m not a bioinformatician, I’m just a software engineer. I made krust because I wanted to learn Rust. I’ve kept working on it and I’m surprised it has as many as 22 stars on GitHub, from people who seem to be in bioinformatics for the most part. So it seems like it’s somewhat interesting/useful. But I don’t know what would make this more/less useful for a specialist.

Been learning Rust by making a k-mer counter — bioinformatics 101 tool for counting the frequency of substrings of length k in DNA data: https://github.com/suchapalaver/krust. Would love feedback.

Adding all suggestions as issues on github ;) https://github.com/suchapalaver/krust/issues/6

Thanks again for your suggestion. In case you’re interested, I followed up and used rayon in my program: https://github.com/suchapalaver/krust/blob/main/src/lib.rs. All the best!