Ibex Gives DataFrame Pipelines Their Own Language

Why it surfaced

This is a notably specific attempt to make table transformations feel like a language rather than stringly SQL: named clauses are checked before execution, and the same pipeline can move from exploration to native code. Its benchmark page compares Ibex with Polars, DuckDB, ClickHouse, DataFusion, pandas, data.table, and dplyr, including single-threaded runs.

Ibex is a statically typed language for columnar DataFrame and time-series pipelines, with a REPL, notebook integrations, and C++23 code generation.