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Very cool! I was trying a different approach of packaging a vscode experience with beancount / fava built-in, but haven't had time to get quite as far as you: https://github.com/seltzered/beancolage
Have you considered incorporating a split view of the ledger with the reports?
I want to know where my money goes. I like to look at stacked-area (or column) charts of the categories of spending. To make this work I have some software I made ~20 years ago that does double-entry book-keeping. At the end of the month, I import statements from financial service providers (eg: Wells Fargo, Chase, PayPal, Stripe, etc). Lots of stuff is repeat purchases (eg: Shell Gas) and my software automatically categorises. Some transactions I have to categorise manually. Each category / vendor becomes an expense-account and my banks and CCs exist as assets and liabilities.
Once the import and reconciliation is done I pull up a my column chart that shows where the money went -- and can compare over time -- see a full year of movement. I've been through various charting libraries with it and most recently moved to ECharts[0] -- so I'm planning to expand with Treemap and Sankey style visuals.
The import process, which I do monthly takes maybe an hour. I'm importing from like 5 bank accounts, 3 payment processors, 4 CC providers. The part that takes the longest is signing into their slow sites, navigating past pop-up/interstitial, getting to their download page and waiting for it to download. Loads of these sites (WF, Chase) have been "modernised" and have some real bullshit UI/UX going on -- lags, no keyboard, elements jump around, forms can't remember state, ctrl+click won't open in a new page cause that damned link isn't actually a link but some nested monster of DIVs with 19 event listeners on each one -- and somehow still all wrong.
I think the most-best feature would be to have some tool automatically get all my transactions from all these providers into one common format. Gimmee some JSON with like 10 commonly-named fields for the normal stuff and then 52 other BS fields that each provider likes to add (see a PayPal CSV for example). Does that exist and I just don't know?
[0] https://echarts.apache.org/
There is also the plaid api to gnucash [1], which should work with a lot more banks. Personally, I have not used any of these. My banks allow csv downloads, which works well enough for me. I wouldn't give my data to a 3rd party in any case.
[1] https://github.com/ebridges/plaid2qif
It's nice and has a lot of quite advanced features.
If you want a simple app to track lent and borrows among friends and circle then try Debitum. But it's for Android only..
https://github.com/marmo/debitum
I have a tool to easily convert bank csv's to ledger format https://github.com/muralisc/bank2ledger-cli
I don't know about a service that does this, but you might be able to script the website logins with https://playwright.dev/
Perhaps you can just use https://github.com/aclindsa/ofxgo - it seems to be a pretty good Go package (just eyeballing it, haven't use it).
One option I'd recommend for anyone working towards this is to use the SimpleFIN Bridge [0], which is basically an API wrapper around MX (a Plaid competitor) designed for personal use by the same people that make Budgeting with Buckets. Data security is definitely an issue, but I value having my transactions automatically imported more than I'm concerned about the risk of SimpleFIN being breached.
I've personally used SimpleFIN to provide automatic imports in my own personal, kind-of selfhostable personal finance tool [1].
[0] https://beta-bridge.simplefin.org/
[1] https://github.com/avirut/bursar
Reckon works well enough for me.
https://github.com/cantino/reckon
Fighting with Mint and categorizing Amazon purchases was what initially pushed me down the path into plain text accounting (PTA).
I ended up long down the rabbit hole with auto-downloading Amazon orders (originally with https://github.com/jbms/finance-dl, but then my own custom scraping) and importing and matching them up with credit card transactions using beancount-import (https://github.com/jbms/beancount-import).
This ultimately resulted in me spending a lot less on Amazon - to the point that now doing it manually wouldn't be too bad...
Fighting with Mint and categorizing Amazon purchases was what initially pushed me down the path into plain text accounting (PTA).
I ended up long down the rabbit hole with auto-downloading Amazon orders (originally with https://github.com/jbms/finance-dl, but then my own custom scraping) and importing and matching them up with credit card transactions using beancount-import (https://github.com/jbms/beancount-import).
This ultimately resulted in me spending a lot less on Amazon - to the point that now doing it manually wouldn't be too bad...