Expenses Tracker

Author

Daniele Passabì

Apps

Supported

The natively supported apps follows.

Application	Store Link
dummy	a simple run with toy data
fleur	https://apps.apple.com/it/app/fleur-gestione-spese-e-budget/id1621020173
1money	https://play.google.com/store/apps/details?id=org.pixelrush.moneyiq&hl=it&pli=1
inbank	https://play.google.com/store/apps/details?id=it.phoenixspa.inbank&hl=it&gl=US

Custom

If your app is not supported, do not worry!

You can launch a run with app=custom, providing also your specific app_custom_dict. The latter is a dictionary with all the needed transformations to obtain a dataset with the following structure:

Index	Date	Transaction Type	Account	Category	Amount	Notes
0	2023-06-30	Spesa	Risparmi	Food	2.00	NaN
1	2023-06-28	Spesa	Risparmi	Food	20.00	NaN
2	2023-06-28	Spesa	Risparmi	Car	42.35	NaN

Here's an example of a app_custom_dict:

{
  'delete_rows': {
    'start': 0,
    'end': -5
  },
  'columns_to_drop': ['TAG','VALUTA 2','IMPORTO 2','VALUTA'],
  'columns_to_rename': {
    'DATA': 'Date',
    'TIPOLOGIA': 'Transaction Type',
    'AL CONTO / ALLA CATEGORIA': 'Category',
    'IMPORTO': 'Amount',
    'NOTE': 'Notes',
    'DAL CONTO': 'Account'
  },
  'values_to_rename': {
    'Transaction Type': {
      'Entrata': 'Reddito'
    }
  },
  'date_format': '%d/%m/%y'
}

Report

It follows an example of report, generated using some dummy data for the year 2023.