- Python 3.6 or later
- On Windows the Visual C++ 2019 redistributable is required
There are several ways to install JaroWinkler, the recommended methods
are to either use pip
(the Python package manager) or
conda
(an open-source, cross-platform, package manager)
JaroWinkler can be installed with pip
the following way:
pip install jarowinkler
There are pre-built binaries (wheels) of JaroWinkler 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).
RapidFuzz can be installed with conda
:
conda install -c conda-forge jarowinkler
JaroWInkler can be installed directly from the source distribution by cloning the repository. This requires a C++14 capable compiler.
git clone --recursive https://github.com/maxbachmann/JaroWinkler.git
cd JaroWinkler
pip install .