retsstats

retsstats is a software tool designed to analyze data formatted according to the Real Estate Transaction Standard (RETS). It provides a framework to ingest RETS feeds, normalize diverse data schemas, and generate statistical summaries useful for brokers, analysts, and researchers.

Key features include a RETS data parser capable of handling common RETS responses such as metadata, resources, and field definitions; a normalization layer that unifies field names, data types, and units across feeds; and a analytics engine that computes metrics like listing counts, average and median prices, price per square foot, days on market, and distributions by property type. The tool supports time-based and geographic aggregations, enabling trends by month or region, and offers export options to CSV, JSON, or direct integration with dashboards and BI tools. It is designed to be extensible through plug-ins and customizable metrics.

Architecture is modular, separating data ingestion, normalization, analytics, and reporting. A RETS adapter layer abstracts the data source, while normalized records are stored in a portable data store. The analytics component computes metrics and can generate summary tables and charts, with reporting designed to be adaptable for various delivery formats.

Usage typically follows a data-to-insight workflow. Users configure a RETS feed, run the parser to ingest and normalize data, select the metrics to compute, and export results for further analysis. Example workflows might include collecting a RETS feed into a normalized store, computing region-level price trends and market activity, and exporting a summary report to CSV or JSON for dashboards.

retsstats is an open-source tool in the real estate data ecosystem, aimed at making RETS-derived statistics accessible to practitioners and researchers.