Democratizing quantitative financial data for researchers, developers, and analysts across the globe.
At Eurodatahub, we believe that high-quality, research-ready financial datasets should be easily accessible without high cost or proprietary barriers. We scrape, clean, curate, and optimize datasets ranging from ESG alpha scores to fixed-income models, presenting them in standardized formats like Parquet, CSV, and JSONL.
We believe in open methodology. Every dataset we offer contains details on its provenance, data cleaning logic, and update frequency.
We leverage cutting-edge compression and file format technology like Apache Parquet to ensure rapid downloads and memory-efficient local processing.
We are built for our community. Users can suggest and vote on new scraping targets and datasets, driving our curation workflow.