tarikurrahmanbd/coffee-shop-management-system — explained in plain English
Analysis updated 2026-05-18
Run the app to manage a coffee shop's daily orders, billing, and inventory.
Create admin, employee, and guest accounts to see how role-based access works.
Study the Tkinter and SQLite code as a template for a similar management system.
Extend the inventory or billing modules with new features for a different type of shop.
| tarikurrahmanbd/coffee-shop-management-system | a-shojaei/constructdrawingai | alex72-py/aria-termux | |
|---|---|---|---|
| Stars | 20 | 20 | 20 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 2/5 | 4/5 | 2/5 |
| Audience | vibe coder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Python 3.7+, a virtual environment, and installing dependencies from requirements.txt.
This is a desktop application for running a coffee shop, built with Python and its built-in Tkinter toolkit for the graphical interface. It is meant to help an owner or staff handle the everyday parts of running the shop: taking orders and billing customers, tracking inventory, and keeping employee records, all from one program with a login screen. The system supports three types of users: an admin, an employee, and a guest, each seeing different options after logging in. Admins can manage the whole system, including adding, editing, or removing employees and products, and viewing reports. Employees handle day to day tasks like adding items to a customer's order, calculating totals, and printing receipts. Guests can only browse the available products and their prices without signing in as staff. Behind the scenes, the app stores its data in a SQLite database file that gets created automatically the first time you run it, so no separate database server needs to be set up. It also uses a library called Pillow to handle the images and icons shown in the interface, plus a splash screen with a loading indicator when the app starts. To run it, you need Python 3.7 or newer with pip. The recommended steps are to clone the project, create a Python virtual environment, activate it, and install the dependencies listed in requirements.txt, which include SQLite support and Pillow. Once installed, running the file run_app.py starts the splash screen and then opens the login window. First time users create an account, choose a role, and log in from there. The project is released under the MIT license, so anyone can use, modify, and share it, including for commercial purposes, though the author asks that you credit the original developer if you build on top of it. The author describes it as a good example project for learning Tkinter interfaces, SQLite databases, and role based login systems in Python.
A Python desktop app with a Tkinter GUI for running a coffee shop: order billing, inventory tracking, employee records, and role-based login.
Mainly Python. The stack also includes Python, Tkinter, SQLite3.
Use freely for any purpose, including commercial use, as long as you credit the original developer.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
double-check against the repo, no cap.