This project seeks to build a Python software package that consists of a comprehensive and scalable set of string tokenizers (such as alphabetical tokenizers, whitespace tokenizers) and string similarity measures (such as edit distance, Jaccard, TF/IDF). The package is free, open-source, and BSD-licensed.
- Project Homepage: https://sites.google.com/site/anhaidgroup/projects/magellan/py_stringmatching
- Code repository: https://github.com/anhaidgroup/py_stringmatching
- User Manual: https://anhaidgroup.github.io/py_stringmatching/v0.4.2/index.html
- Tutorial: https://anhaidgroup.github.io/py_stringmatching/v0.4.2/Tutorial.html
- How to Contribute: https://anhaidgroup.github.io/py_stringmatching/v0.4.2/Contributing.html
- Developer Manual: http://pages.cs.wisc.edu/~anhai/py_stringmatching/v0.2.0/dev-manual-v0.2.0.pdf
- Issue Tracker: https://github.com/anhaidgroup/py_stringmatching/issues
- Mailing List: https://groups.google.com/forum/#!forum/py_stringmatching
py_stringmatching has been tested on each Python version between 3.8 and 3.12, inclusive. Note: Python 3.7 support was dropped as it reached End of Life (EOL) on June 27, 2023.
The required dependencies to build the package are NumPy 1.7.0 or higher, but lower than 2.0, and a C or C++ compiler. For the development version, you will also need Cython.
py_stringmatching has been tested on Linux, OS X and Windows. At this time we have only tested on x86 architecture.