Pointblank: Data Validation That's Actually Beautiful

Your Data Is Lying to You That CSV your pipeline ingested at 3 AM? It has NULL customer IDs. The revenue column has negative values. And that status field someone added "cancled" to (yes, misspelled) last Tuesday? It's been silently corrupting your analytics for a week. Every data team has a version of this story. The uncomfortable truth is that most data quality issues aren't caught: they're discovered (usually by someone staring at a dashboard that doesn't add up). We built Pointblank to change that. What Is Pointblank? Pointblank is an open-source Python library for assessing and monitoring data quality . You define validation rules, Pointblank interrogates your data, and you get clear, visual reporting that the whole team can act on. It works with the tools you already use: Polars , Pandas , DuckDB , PostgreSQL , MySQL , SQLite , Parquet , PySpark , and Snowflake . No new infrastructure required. What makes Pointblank different from other validation libraries? Two things: Communica