R-TAS is a free Rental Tracking and Accounting System

R-TAS is a free Rental Tracking and Accounting System

Table of Content

R-TAS, which stands for Rental Tracking and Accounting System, is a comprehensive software solution designed specifically for landlords and small property management companies.

With R-TAS, users can easily manage their rental income, generate professional invoices, and accurately track costs associated with property management. This innovative system provides a user-friendly interface and advanced features to streamline and simplify the entire rental management process.

Whether you own a single property or multiple rental units, R-TAS is the ideal tool to help you effectively manage your properties, increase efficiency, and maximize your profits.

Features

  • Track all rental expenses and store receipts
  • Track all rental income
  • Automatically issue rent receipts to tenants via email
  • Maintains a list of all current and past tenants
  • Maintains a list of all rental units
  • Links together tenants to units to invoices to expenses to documents
  • Automated financial reporting
  • Screen alert dashboard for pending lease renewals etc.
  • Integrated document repository to link documents to tenants, units, expenses etc.
  • Single or Multi-User deployment

Platforms

  • macOS
  • Windows
  • Apple iPhone

License

GNU General Public License version 3.0 (GPLv3)

Resources & Downloads

R-TAS
Download R-TAS for free. Rental Tracking and Accounting System. R-TAS is a rental income, invoicing and cost tracking system for landlords and small property management companies. The system was designed to be very intuitive and user friendly.







Open-source Apps

9,500+

Medical Apps

500+

Lists

450+

Dev. Resources

900+

Read more

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

The integration of artificial intelligence (AI), particularly large language models (LLMs) and machine learning algorithms, into healthcare has transformed the industry dramatically. These technologies enhance various aspects of patient care, from diagnostics and treatment recommendations to continuous patient monitoring. However, the application of AI in healthcare is not without challenges.