Grizzlars
Developer ProductivityA Python DataFrame library backed by a multithreaded C++ engine for high‑performance data processing
Features
- Multithreaded C++ engine delivering >6× lower memory usage than Polars on large CSVs
- Type‑aware column storage (`std::vector<T>`) eliminating GIL overhead
- Automatic parallel execution of sort, filter, groupby, join, and aggregation operations across all CPU cores
Recent releases
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Install & Platforms
Install via
pip
Platforms
linux
macos
windows
Alternative to
polars