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``: .. code-block:: sh pip install rapidfuzz There are pre-built binaries (wheels) of RapidFuzz for MacOS (10.9 and later), Linux x86_64 and Windows. .. raw:: html

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``: .. code-block:: sh 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. .. code-block:: sh git clone --recursive https://github.com/rapidfuzz/rapidfuzz.git cd rapidfuzz pip install .