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Rustling is a high-performance library for computational linguistics. It aims to provide flexible and efficient tools to facilitate further research.

Documentation: Python | Rust

Currently implemented features:

  • Sequence modeling:

    • N-grams and related language models
    • Hidden Markov model
    • Word segmentation
    • Averaged perceptron part-of-speech tagging

  • Handling richly formatted data, supporting cross-format conversion as well as both local and remote sources for data ingestion:

    • CHAT for TalkBank and CHILDES
    • ELAN for annotated multimedia data
    • TextGrid for Praat annotations
    • CoNLL-U for University Dependencies
    • SRT for SubRip subtitles

Performance

Rustling is highly performant because it is implemented in Rust under the hood. For benchmarks comparing Rustling against other Python packages with similar functionalities, please see benchmarks.

Installation

Python

Using pip:

pip install rustling

Using conda:

conda install -c conda-forge rustling

For Pyodide, pre-built WASM wheels (with multithreading disabled, as Pyodide does not support it) are available from each GitHub release — look for the .whl file with emscripten in the filename.

Rust

cargo add rustling

License

MIT License

Project links

Data verified by PyPI on Jul 20, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

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Avatar for jacksonllee from gravatar.com jacksonllee

Credits

Author: Jackson L. Lee

GitHub Statistics

Data verified by PyPI on Jul 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Tags

linguistics nlp text-processing

Classifiers

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