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Ask HN: Would you like your banking data in real time via IPython / RStudio?
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2 points
by bh13731
3855 days ago
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Hey, 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. The process would look like the following; 1. Connect your account(s) - we use Saltedge.com to pull the data. 2. You'd get a browser IPython / RStudio Server instance with your data loaded into a dataframe (we pull new data once a day) 3. You can run your analysis / schedule jobs / save scripts, etc. Let me know if you're interested and we'll build it! We build really fast! |
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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).
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.
I'm probably not your typical user but I hope that helps.
[1] http://pandas.pydata.org/