An expenditure tracker built in node,express and bootstrap
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Updated
Apr 24, 2018 - HTML
An expenditure tracker built in node,express and bootstrap
A simple daily money saver that multiply the money and the days
A small budgeting and budget planning application built on Java Spring Boot and React.JS
This web application enables users to track their earnings, log their daily spending, and classify transactions. With intuitive interfaces, it simplifies budget creation, aiding users in establishing and sticking to their financial objectives. Alerts and notifications ensure users stay updated on budget constraints and financial achievements.
This app figures out who owes who what among participants of a trip. If various purchases were made on a trip between multiple participants and you need a tool to quickly tell you the splits among those participants, this tool will help you do so.
Track your income and expenses easily
Easy-to-use Windows desktop application for tracking expenses and income, investments on conventional and crypto exchanges.
This is a web app used to keep track of expenditure of money, used PHPMyAdmin to store data
REST API service for Money Tracker (https://dominsoft.ru/)
🧾 Record the daily expenses and view the activity
A simple python application bult with Tkinter to simulate money monagement
Wallet Sync is a powerful and user-friendly financial management app designed for collaborative expense and income tracking. With Wallet Sync, you can easily manage shared finances with friends, family, or colleagues, ensuring a seamless experience for everyone involved.
The Finance Reminder App reminds every day people like me to update them on their balances, financial decisions/goals, and what you can do to save money that day on a daily basis.
Simple spending log for Android, written in Kotlin
Menjadi Full Stack pada Kuliah Praktek/Magang pada tahun 2022 dengan judul "Rancang Bangun Aplikasi Pencatatan Pemasukan dan Pengeluaran Pada PT Tolichris" [6 Maret 2022 - 6 Mei 2022]
An analysis for the highest paid athletes for a 10 year span in Python. The data set is from the Forbes list that compiled their net worth.
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