Add streamxl — Rust-powered streaming XLSX reader for Python#1
Add streamxl — Rust-powered streaming XLSX reader for Python#1Mullassery wants to merge 1 commit into
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This pull request adds the streamxl library to the list of high-performance data processing and serialization libraries in the README.md. The reviewer suggested removing the author's name from the description to maintain consistency with the other entries in the list.
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| - [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. |
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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.
| - [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. |
streamxl
https://github.com/Mullassery/StreamXL
A Python library that reads
.xlsxfiles row-by-row using a Rust engine exposed via PyO3 + maturin.Why it belongs here:
zip+quick-xmlcratesAuthor: Georgi Mullassery
License: MIT
Install:
pip install streamxl/uv add streamxlAdded to the Data Processing section in alphabetical order.