Hey,<p>We're building an intelligent financial assistant (meetcleo.com) at a startup incubator here in London (joinef.com). We were thinking of building out a feature where you could run your own Python / R code in the browser to analyse your transaction data.<p>The process would look like the following;<p>1. Connect your account(s) - we use Saltedge.com to pull the data.<p>2. You'd get a browser IPython / RStudio Server instance with your data loaded into a dataframe (we pull new data once a day)<p>3. You can run your analysis / schedule jobs / save scripts, etc.<p>Let me know if you're interested and we'll build it! We build really fast!
I personally don't see it as a value add and therefore wouldn't pay for it.<p>First I don't analyze my finances that often just looking once a month for potential fraudulent transactions (In the US it's more frequent than when I lived in europe).<p>Second if I would really care most banks export in CSV format which makes it easy to process with panda [1]. My gut feeling is that's what most tech savvy users would do, and they are tech savvy if they can write Python or R.<p>I'm probably not your typical user but I hope that helps.<p>[1] <a href="http://pandas.pydata.org/" rel="nofollow">http://pandas.pydata.org/</a>