It started as a collaboration with https://pypi.org/project/Procpath/. For me as a frontend developer it's an interesting challenge to develop, in fact, a desktop app (with background workers running a database and exchanging data with the main thread and so on) in the form of progressive web app (PWA).
But in general I want to solve a problem: a lot of people know SQL which is actually powerful to wrangle data to prepare it for visualisation and analysis. It can't be simpler than drag-and-dropping a CSV into a browser, producing a result set and consuming it by the visualisation component (now Plotly, but more to come).
Genuinely impressed! For me, the most impressive part is the configurability of the charts. Did you implement each configuration for each chart type individually, or were you leveraging some library to help populate the chart configuration parameters?
But in general I want to solve a problem: a lot of people know SQL which is actually powerful to wrangle data to prepare it for visualisation and analysis. It can't be simpler than drag-and-dropping a CSV into a browser, producing a result set and consuming it by the visualisation component (now Plotly, but more to come).