Personal Finance Dashboard Github Pages
A full-featured personal finance analytics dashboard built with Next.js, React, TypeScript, Tailwind CSS, and Recharts. This project is part of my frontend developer portfolio and focuses on real-world UI architecture**, data-driven components**, and production-ready patterns commonly used in modern React applications. The application relies on useState and useEffect to handle transactions, recurring expenses, filters, and derived financial metrics in a predictable and maintainable way. Multiple filters (transaction type, category, date range, and search query) are composed together to produce accurate, real-time views of the data without unnecessary re-renders. Financial data is stored in localStorage, allowing users to retain their information across sessions without requiring a backend. Personal Finance Dashboard was designed from the ground up to be easy to use and give you control over your finances.
Personal Finance Dashboard lets you focus on your finances, and we'll do the chores. Go ahead and move your money around, we'll keep track of it. Set up saving goals for what matters to you. Personal Finance Dashboard will help you keep track of your progress and provide helpful analytics along the way. Python is a very powerful programming language, and I've made a lot of projects in it. From Amazon price trackers to Spotify recommenders, it can do a bunch of different things, and my most recent project has been to build a financial dashboard that can graph data from a CSV.
It trracks expenditure, savings, and expenditure per category, and it can give you a quick overview of your spending month to month. Naturally, there are a ton of options out there that you can use, including many templates in Excel. However, this is one that you completely control, and you can modify it pretty easily if you're proficient with Python. I do a lot of data analysis in Python, because it's a powerful programming language with some great, easy to use modules for analysis and graphing. On top of that, Flask is a module that you can use to host websites in Python, and you can combine those graphing modules with Flask to insert graphs into a webpage when it... For this project, I used Flask and I created a basic Material Design page where I could upload a CSV file split into date, category, and the amount of expenditure.
It then groups that expenditure into both a month and into categories, showing the total amount earned, spent, saved, and then how much was spent in individual categories. This data is then graphed using Plotly, as it's a browser-based graphing library that you can easily insert into webpages. From there, images are inserted into the HTML template from the CSV the user submits, and it can give an overview of all of your spending habits. I created a sample CSV for analysis to show it works, using randomized income and expenditure values, which in turn changed the amount in savings, too. Finally, an average is calculated for how much of your income is going to savings. In this tutorial, we'll develop a Personal Finance Tracker using Django.
We'll implement a robust login and logout system, and then proceed to establish CRUD (Create, Read, Update, Delete) operations for efficiently managing our expenses. The system will empower users to seamlessly delete or update their data with a single click, avoiding the need to navigate to the admin panel for such tasks. Once all necessary data is entered, a simple button click will trigger the automatic generation of a comprehensive financial overview, calculated based on the entered expenses. A Finance Tracker is a Django-based web application that helps users manage personal finances. It includes a secure login, and CRUD operations for expense management, and allows easy one-click data deletion and updates. Users can generate a comprehensive financial overview by simply clicking a button after entering their expenses.
which we will create using Python Django. To start the project, and app use this command Building a personal finance tracker involves handling complex data models. To learn how to manage this and other advanced Django features, the Django Web Development Course is an excellent resource. models.py : Below code defines a Django model "Expense" with fields for user, salary, name, and price, tailored for managing expense data, associating each expense with a user and default values for salary, name,...
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A Full-featured Personal Finance Analytics Dashboard Built With Next.js, React,
A full-featured personal finance analytics dashboard built with Next.js, React, TypeScript, Tailwind CSS, and Recharts. This project is part of my frontend developer portfolio and focuses on real-world UI architecture**, data-driven components**, and production-ready patterns commonly used in modern React applications. The application relies on useState and useEffect to handle transactions, recurr...
Personal Finance Dashboard Lets You Focus On Your Finances, And
Personal Finance Dashboard lets you focus on your finances, and we'll do the chores. Go ahead and move your money around, we'll keep track of it. Set up saving goals for what matters to you. Personal Finance Dashboard will help you keep track of your progress and provide helpful analytics along the way. Python is a very powerful programming language, and I've made a lot of projects in it. From Ama...
It Trracks Expenditure, Savings, And Expenditure Per Category, And It
It trracks expenditure, savings, and expenditure per category, and it can give you a quick overview of your spending month to month. Naturally, there are a ton of options out there that you can use, including many templates in Excel. However, this is one that you completely control, and you can modify it pretty easily if you're proficient with Python. I do a lot of data analysis in Python, because...
It Then Groups That Expenditure Into Both A Month And
It then groups that expenditure into both a month and into categories, showing the total amount earned, spent, saved, and then how much was spent in individual categories. This data is then graphed using Plotly, as it's a browser-based graphing library that you can easily insert into webpages. From there, images are inserted into the HTML template from the CSV the user submits, and it can give an ...
We'll Implement A Robust Login And Logout System, And Then
We'll implement a robust login and logout system, and then proceed to establish CRUD (Create, Read, Update, Delete) operations for efficiently managing our expenses. The system will empower users to seamlessly delete or update their data with a single click, avoiding the need to navigate to the admin panel for such tasks. Once all necessary data is entered, a simple button click will trigger the a...