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Automate contact and company data extraction
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1

SnacTrac

The local snack bar manager!

SnacTrac is a tool designed to simplify the management of snack bar operations by tracking inventory and customer tabs. With built-in statistics calculations and historical logs, SnacTrac provides valuable insights into customer activity and profit performance. Please note that this software assumes users will accurately log purchases and settle payments appropriately with the vendor.

Downloads: 0 This Week

Last Update: 2025-04-09
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2

Store Management System

system which works as electronic notebook for keeping records...

Visit our site given below for the LATEST UPDATE and guide for use of store management system on https://tmotagam.github.io/ Shop management system which works as electronic notebook it keeps data about sales and also of products it has Point of sale backups and inventory system WHAT`S NEW: Added New Icon We have launched new project FTPT for sharing your files with your teams using ftp go check it out LINK https://sourceforge.net/projects/ftpt/ We have launched new project...

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Downloads: 5 This Week

Last Update: 2022-10-27
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3

Jestoy Simple Inventory

Simple inventory management using Python 3, Tkinig soter, and SQLite3.

A simple inventory management using Python 3, Tkinter, and SQLite 3. Inventory management solution for small businesses.

Downloads: 0 This Week

Last Update: 2016-08-25
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4

labhamster

simple tracking of laboratory purchases and materials

Note: This project has been migrated to: https://github.com/graik/labhamster Labhamster is a simple Django project for tracking materials and reagants ordered for a scientific laboratory and offers a rudimentary inventory management. For now it is not much more than the out-of-the-box Django admin interface with a pretty standard data model.

Downloads: 0 This Week

Last Update: 2015-02-21
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BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.

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