A Python-based Expense Tracker application that simplifies the process of managing expenses. Designed with efficiency in mind, it leverages JSON for local data storage and offers CSV integration for exporting and importing data. Its robust feature set is suitable for personal budgeting, small businesses, and anyone looking to streamline their expense tracking.
Easily log expenses with details like name, amount, and category.
View a comprehensive list of all expenses or filter them by specific categories for focused insights.
Remove unnecessary or incorrect entries from the expense list.
Save all recorded expenses to a CSV file (expenses.csv) for external use or sharing.
Load expenses from an existing CSV file to quickly populate the tracker.
Automatically creates a backup of your data in JSON format upon exiting to ensure no information is lost.
An intuitive menu interface provides a seamless user experience for managing expenses.
Use the same CSV file across multiple systems for collaborative expense tracking or easy migration.
- Python
- os: For file and directory management.
- json: Handles primary data storage and backup.
- csv: Manages data export and import.
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Clone this Repository
https://github.com/Goyam02/EXPENSE-TRACKER.git cd Expense-Tracker -
Install dependencies (optional):
- Ensure Python 3.x is installed
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Run the Script
python expenses.py
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Run the application using python
python expenses.py
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Select from the menu options to:
- Add, view, or delete expenses.
- Export data to CSV or import it from an existing file.
- Filter expenses by category for analysis.
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Exit the Application to automatically create a backup file of your data in the Expenses directory..
EXPENSE-TRACKER/
│
├── Expenses/ # Directory to store data files
│ ├── Expenses.json # Primary data file
│ ├── Expenses.csv # CSV file for export/import
│ └── Expenses_backup.json # Backup file created automatically
│
├── expenses.py # Main Python script
├── README.md # Project documentation
└── LICENSE # License file-
Personal Budgeting :
Keep track of your daily, weekly, or monthly expenses. -
Small Businesses :
Record expense categories to monitor spending patterns. -
Collaborative Expense Management:
Export CSV files and share them with team members or family for group financial tracking.
- Graphical Reports:
Integrate libraries like matplotlib or plotly to generate graphical expense reports. - Cloud Integration:
Enable data synchronization across devices using cloud storage services like Google Drive or AWS. - Expense Predictions:
Use machine learning models to predict future expenses based on historical data.
We welcome contributions from the community! Here’s how you can help:
- Fork the repository and create your branch:
git checkout -b feature/AmazingFeature- Commit your changes:
git commit -m "Add some AmazingFeature"- Push to the branch:
git commit -m "Add some AmazingFeature"- Open a pull request to the main branch.
This project is open-source and available under the MIT License.
If you encounter any issues or have feature suggestions, please open an issue in the repository or reach out via GitHub.
This repository provides a solid foundation for managing expenses effectively. Contributions and feedback are highly appreciated!