Python Simhash
Features
- Written in Rust: The underlying library and bindings are written in Rust, which makes it fast and memory-efficient.
- Safe: The Rust implementation is memory-safe and thread-safe.
Quick Start
Installation
pip install python-simhash
Basic Usage
from simhash import simhash, hamming_distance
fingerprint1 = simhash("hello world this is a message saying some things".split(), hasher="xxh3")
fingerprint2 = simhash("hello world this is a message saying some other things".split(), hasher="xxh3")
print(hamming_distance(fingerprint1, fingerprint2))
License
This project is licensed under MIT License.
Support & Feedback
If you encounter any issues or have feedback, please open an issue. We'd love to hear from you!
Made with ❤️ by Emergent Methods
1 maintainer
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- Upload date:
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- Tags: CPython 3.9+, manylinux: glibc 2.34+ x86-64
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