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Add streamxl — Rust-powered streaming XLSX reader for Python #1

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Expand Up @@ -51,6 +51,7 @@ High-performance data processing and serialization libraries.
- [polars](https://github.com/pola-rs/polars) - DataFrame library with a Pandas-like API.
- [pydantic-core](https://github.com/pydantic/pydantic-core) - Core validation logic for Pydantic v2.
- [rustworkx](https://github.com/Qiskit/rustworkx) - High-performance Python graph library implemented in Rust.
- [streamxl](https://github.com/Mullassery/StreamXL) - Streaming XLSX reader for Python powered by a Rust engine (PyO3 + quick-xml). Reads large Excel files row-by-row without loading the full file into memory; 4–5× faster than openpyxl. By Georgi Mullassery.

@gemini-code-assist gemini-code-assist Bot Jun 14, 2026

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medium

To maintain consistency with the other entries in this list, please remove the author's name ("By Georgi Mullassery.") from the description. None of the other listed projects include author attribution in their descriptions.

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- [streamxl](https://github.com/Mullassery/StreamXL) - Streaming XLSX reader for Python powered by a Rust engine (PyO3 + quick-xml). Reads large Excel files row-by-row without loading the full file into memory; 4–5× faster than openpyxl. By Georgi Mullassery.
- [streamxl](https://github.com/Mullassery/StreamXL) - Streaming XLSX reader for Python powered by a Rust engine (PyO3 + quick-xml). Reads large Excel files row-by-row without loading the full file into memory; 4–5× faster than openpyxl.

- [yaml-rs](https://github.com/lava-sh/yaml-rs) - High-performance YAML v1.2 parser.

## Development Tools
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