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Installation

While there are several ways of install RapidFuzz, the recommended methods are either by using pip (the Python package manager) or conda (an open-source, cross-platform, package manager)

using pip

RapidFuzz can be installed with pip:

pip install rapidfuzz

There are pre-built binaries (wheels) of RapidFuzz for MacOS (10.9 and later), Linux x86_64 and Windows.

failure "ImportError: DLL load failed"

If you run into this error on Windows the reason is most likely, that the Visual C++ 2019 redistributable is not installed, which is required to find C++ Libraries (The C++ 2019 version includes the 2015, 2017 and 2019 version).

using conda

RapidFuzz can be installed with conda:

conda install -c conda-forge rapidfuzz

from git

RapidFuzz can be directly used from GitHub by cloning the repository. This requires a C++17 capable compiler.

git clone --recursive https://github.com/rapidfuzz/rapidfuzz.git
cd rapidfuzz
pip install .