DataScreenIQ is a Data Firewall SDK for modern pipelines. It screens every batch of data—JSON, rows, or files—and instantly returns PASS, WARN, or BLOCK with a clear Health Score. Detect schema drift, null explosions, type mismatches, and outliers before they break dashboards or models. Designed for Airflow, dbt, Spark, and Python workflows. One line of code gives developers real‑time data quality checks.
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Hunter
📌
Hi Product Hunt
I built DataScreenIQ because every data engineer (including me) has been burned by silent data failures:
schema drift
null explosions
type mismatches
corrupted exports
broken ETL
dashboards lying silently
I wanted a tool that was:
simple
fast
API‑first
pipeline‑friendly
and had Stripe‑level developer experience
So I built DataScreenIQ — a Data Firewall for modern pipelines.
The SDK is the heart of the product.
One line of code screens your data and tells you whether it’s PASS, WARN, or BLOCK.
I’d love your feedback, ideas, and brutally honest thoughts.
Thank you for checking it out ❤️
Test it in collab without ny API key
https://colab.research.google.com/github/AppDevIQ/datascreeniq-python/blob/main/examples/integrations/colab/datascreeniq_demo.ipynb#scrollTo=jxSZ8Q7jSgpv
Join the Squad for discussions at https://dly.to/G92nQDoTm8N