3 ms·
Wonderful. I really like the idea of being able to deliver some interactive analysis, there's a huge amount of value I think in being able to let someone tinker
by IanCal 11y ago
Wonderful. I really like the idea of being able to deliver some interactive analysis, there's a huge amount of value I think in being able to let someone tinker a little bit with a threshold & explore things in a controlled way.
Something I particularly like is that because it works in a browser I guess I could package it up as a single HTML file if I wanted and anyone could open it, or at least hosting becomes just "put the files somewhere" rather than running a server & backend code.
I look forward to seeing how this progresses.
- mvclark 11y agoThank you. Easily setting up "tunable" parameters (e.g., sliders) in a computation was a key requirement for Blabr. For example, it is very instructive/insightful to adjust the variable k in this compressive sensing blab to see the abrupt transition between sparsity and non-sparsity: http://blabr.io/?e8a066234715f21c21fd http://blabr.io/?e8a066234715f21c21fd Regarding packaging a blab: yes, it's very simple to share a blab on the web. After editing the blab, just click "Save" at the top right. This will save the blab to a Github Gist. You'll then get a link to the blab, like the one above (for the compressive sensing blab). Share the link with anyone. There are two ways to save a blab: 1. Anonymous Gist - easiest way, no need for GitHub account, but no revision control (new gist for each save). 2. Gist under your GitHub username - full revision control (gist revision each time you edit and save your blab); can make gist public or private.