Looping works, this is more of a hardware question I think. I want the same instance of the program to run for years/decades if possible. Also want it to be available for people to see it in the same state on the web (streaming vs them running it locally). Does that make a bit more sense?
Great advice on sharing the code to help see how much complexity can come from very little code. Most of these artists open source their code. I will try to add in links to the code - great idea!
I'd like to open source at least a portion of the data to see if it is possible to build a community driven database. Could connect works back to museums and auction records as well as articles and research and potentially build a crowd sourced provenance.
Thanks for reading, Artnet is awesome. To my knowledge they do not have a database looking at all known works by artists, they focus on works sold at auction. This makes sense as they cover much larger group of artists and info on complete works is typically not available for the majority of artists.
Thanks for reading, I hope to improve the analysis over time. I spent the last three years building a unique database that contains the complete paintings of ~40 of the best known artists of the twentieth century. I was motivated by reading about the large percentage of works that are forged or misattributed. I had always just assumed there was a single database listing how many works artists created, average size of the works, changes in materials over time etc. (similar to sports stats). After asking around and learning no such database exists I decided to build one. Getting my blog out there has allowed me to meet with a lot of really sharp folks like yourself who are helping me refine the analysis.
Thanks for reading my post. I am building a database of complete known works across the most important art and artists of the twentieth century. Currently no such database exists. Hoping to work with folks much sharper than I am to build out meaningful analytics around art and artists using this new data.