Every Freelancer, Every Region, One Map.
PayTerrain is an open-source platform designed to bring transparency to freelance compensation by tracking real wages and comparing them across regions. It helps businesses and independent workers understand not just what is being paid, but what that pay actually means in context—accounting for regional cost-of-living differences and broader market benchmarks. The goal is to make compensation data more visible, comparable, and actionable so that pay decisions are grounded in real-world conditions rather than isolated numbers.
At its core, PayTerrain functions as a structured wage intelligence system. It allows users to log freelancer payments, hours worked, and project details, then automatically calculates effective hourly rates. These figures can be adjusted using regional cost-of-living indices and optionally inflation data, providing a clearer picture of real purchasing power. This makes it easier to compare compensation fairly across different locations and roles.
The platform also includes strong analytical and visualization capabilities. Users can view wage trends over time, compare rates across regions, and identify discrepancies between actual pay and regional benchmarks sourced from public datasets such as labor statistics and cost-of-living indexes. Reports can be exported in multiple formats, supporting both internal business use and broader transparency efforts.
PayTerrain is built with a modern, open-source tech stack designed for scalability and flexibility. It uses PostgreSQL for reliable data storage, Python (FastAPI) or Node.js for backend services, and React with charting libraries like Chart.js or Recharts for interactive dashboards. Data analysis is powered by Python libraries such as Pandas and NumPy, and deployment is containerized using Docker. Together, these components make PayTerrain adaptable for both small teams and larger organizations seeking wage transparency tools.

- PayTerrain – Tracks real wages and cost-of-living adjustments, providing analytics for fair compensation. AGPLv3
