You are wrong. I work in FinTech and use Python and markdown. I am very interested in this. The current visualization tools in the Python space are very hamfisted. Dash and Plotly all hit a wall when trying to do complex visualizations.
I haven't used Evidence so can't speak to its capabilities. It's been a while since I've used Dash and Streamlit so I can't recall exactly what caused me to throw it aside but I do remember that formatting was hell and to even get close to what I wanted I had to use components from plotly express, dash, streamlit, essentially every Python data viz library. It was just too much of a hassle.
Yeah. The frameworks solve the 80 percent problem quite well but once you start trying to be as specific as the business often wants, I would find them lacking and end up popping JSON to d3 (or some such)
Comments
You are wrong. I work in FinTech and use Python and markdown. I am very interested in this. The current visualization tools in the Python space are very hamfisted. Dash and Plotly all hit a wall when trying to do complex visualizations.
I'm curious what you hit in dash and plotly that evidence let you overcome.
(FTR, I use all of them, lightdash, streamlit, (as well as drop down to flask) etc.)
I haven't used Evidence so can't speak to its capabilities. It's been a while since I've used Dash and Streamlit so I can't recall exactly what caused me to throw it aside but I do remember that formatting was hell and to even get close to what I wanted I had to use components from plotly express, dash, streamlit, essentially every Python data viz library. It was just too much of a hassle.
Yeah. The frameworks solve the 80 percent problem quite well but once you start trying to be as specific as the business often wants, I would find them lacking and end up popping JSON to d3 (or some such)
Sean, my cofounder, and I previously led the data team at a PE fund. This absolutely tracks with our experience.