I am not endorsed in any way by Plaid to share this info, just helping others get a head start on using Plaid with Django.
Plaid is a plaform-as-a-service API which you can use to build your own financial apps. It has features such as easily linking to existing bank accounts, and also auto-categorization of transactions. Plaid’s API brings all the data from different financial sources into one place and one format so you can build apps with a holistic view of a user’s finances.
Ok. Now all praise of Plaid aside, I’m sure you are here because you want to build a Django app that uses Plaid to obtain users’ financial data. In all of Plaid’s tutorials shown in their quickstart github page, they have a tutorial for Python, but it’s using Flask for the backend rather than Django.
I’ve taken the time to translate their tutorial from Flask to Django. The main difference was Django’s requirement of having CSRF protection.
For the last few days I have been scratching my head. How do you plot all the data in your django website, without having to figure out D3 or any other complicated graphing libraries?
I've looked at several solutions, including Djangos Graphos, Chartit, NVD3… Everyone online seems to be recommending to use charting libraries off of this list: https://djangopackages.org/grids/g/charts/
It's frustrating to try many solutions to find out that they are all too complicated to understand, and the copy+paste approach doesn't work most of the time.
Today I will show you how absolutely easy it is to plot graphs in Django using Plotly's Python API. We are going to make a simple interactive plot that looks like this: