Python app to help you become prudent in your spendings

A look back at your Amazon shopping... parse / slice / dice Amazon purchase history CSV export

The sample integration flows in this repository demonstrate how to use SAP BTP Integration Suite to pull data from the SAP Ariba Analytical Reporting API, process it into SAP Data Warehouse Cloud, and analyze it using the SAP Analytics Cloud Spend Analysis business content.

A replacement for the FPDS XML conversion utility: converts one or more FPDS data archives to a SQLite3 database.

Dashboard is prepared in Tableau to understand the spend analysis of different generations on different categories.

CREDIT CARD SPEND PREDICTION

Track all your daily, monthly and yearly expenses in a modern sleek UI. Looking forward for more contributors to this repository.

Application for tracking grocery expenditures and predict food shortages in household pantry

SpendSmart is a cutting-edge budget suggestion app. Beyond traditional budgeting functionalities, SpendSmart empowers users to compare the cost of a single iPhone or product with other items within their budget.

Predicted customer transactions using recency, frequency, spend behaviour and Social Network metrics over lifetime using MLlib

✈️ Watch this app in your browser and control your spends from travels. ✈️

Expenses Discovery API and a sample angular app

This repository contains the source code for a Spend Analyser app built with Python using the Streamlit library. The app allows users to input their spending data, which is then stored in a CSV file. The app then reads the CSV file and displays the spending data as a table and a chart.

Storage, querying and visualisation of personal spending data

Heroku app that visualizes the current US Budget as a treemap