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By reason-machines

harvard-artifacts-etl-streamlit-app

reason-machines757 installs

Turn museum collection data into a dashboard.

What it does

Guides developers in building a museum-data ETL pipeline with SQL storage and an interactive analytics dashboard.

When to use it

Use when building museum-artifact ETL pipelines, fetching Harvard collection data, or creating dashboards for that data.

How to use it

Give it a museum-data pipeline or dashboard request; it helps build the extraction, transformation, SQL storage, and interactive application.

Uses

Latest review

What you need · 4

Requires Python to run the application's ETL and dashboard code; no version is specified.

Requires a reachable SQL database configured through DB_HOST, DB_USER, DB_PASSWORD, and DB_NAME for the MySQL connector.


Access · 4

This skill

MySQL

Write

Loads artifacts into MySQL

Harvard Art Museums API

Read

Fetches museum collection data