2022_firingcosts VS WebPlotDigitizer

The original question does report the size of the data. Perhaps the permitted latency (finance sector was mentioned) is too short for (interpreted) Python and matplotlib, and analysis and visualization is better off with e.g., Fortran/C and gnuplot instead (2022_firingcosts is just one example from few picks of Fortran in econonmics, the author of this compilation is a financial analyst using Python, R, and Fortran as his tools).

Something similar which is more recently-maintained: https://github.com/automeris-io/WebPlotDigitizer

Are you looking for a digitizer tool like https://automeris.io/WebPlotDigitizer/ ? With the new AI tools being developed, I could see a tool like this being more automated.

If you’re only doing the one graph it makes more sense to just use an existing graph-to-data tool like this one.

There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here.

Theory of Wing Sections by Abbott and von Doenhoff. Use a plot digitizer to extract data from published graphs.

If you don’t require complete accuracy you can try this for an approximation. https://automeris.io/WebPlotDigitizer/

At least in the case of Linux Debian, the cross-link to the project's homepage appears no longer accessible. Is it because the developer reorganized his web site? An alternative to scan the phase diagram can be Ankit Rohatgi's webplotdigitizer (Windows/Linux/Mac, can be used from the web browser).