Harvard Artifacts Etl Streamlit Analytics

You're looking at a complete ETL pipeline tutorial that pulls artifact data from Harvard Art Museums' public API into a MySQL database, then visualizes it with Streamlit and Plotly. It handles pagination and rate limiting on the API side, structures data across three normalized tables (metadata, media URLs, and color analysis), and includes pre-built analytical queries for culture distributions and color patterns. The repo comes with schema definitions and batch insert logic. Honestly, this is more of a learning project than production infrastructure, but it's a solid reference if you need to wire up any museum API to a dashboard and want working code for the whole stack.

Install to Claude Code

npx -y skills add aradotso/data-skills --skill harvard-artifacts-etl-streamlit-analytics --agent claude-code