Metadata-Version: 2.1
Name: annif
Version: 0.42.0
Summary: Automated subject indexing and classification tool
Home-page: https://github.com/NatLibFi/Annif
Author: Osma Suominen
Author-email: osma.suominen@helsinki.fi
License: UNKNOWN
Description: # Annif
        
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        Annif is an automated subject indexing toolkit. It was originally created as
        a statistical automated indexing tool that used metadata from the
        [Finna.fi](https://finna.fi) discovery interface as a training corpus.
        
        This repo contains a rewritten production version of Annif based on the
        [prototype](https://github.com/osma/annif). It is a work in progress, but
        already functional for many common tasks.
        
        # Basic install
        
        You will need Python 3.5+ to install Annif.
        
        The recommended way is to install Annif from
        [PyPI](https://pypi.org/project/annif/) into a virtual environment.
        
            python3 -m venv annif-venv
            source annif-venv/bin/activate
            pip install annif
        
        You will also need NLTK data files:
        
            python -m nltk.downloader punkt
        
        Start up the application:
        
            annif
        
        See [Getting Started](https://github.com/NatLibFi/Annif/wiki/Getting-started)
        in the wiki for more details.
        
        # Development install
        
        A development version of Annif can be installed by cloning the [GitHub
        repository](https://github.com/NatLibFi/Annif).
        [Pipenv](https://docs.pipenv.org/) is used for managing dependencies for the
        development version.
        
        ## Installation and setup
        
        Clone the repository.
        
        Switch into the repository directory.
        Install pipenv if you don't have it:
        
            pip install pipenv  # or pip3 install pipenv
        
        Install dependencies and download NLTK data:
        
            pipenv install  # use --dev if you want to run tests etc.
        
        Enter the virtual environment:
        
            pipenv shell
        
        You will also need NLTK data files:
        
            python -m nltk.downloader punkt
        
        Start up the application:
        
            annif
        
        ## Unit tests
        
        Run `pipenv shell` to enter the virtual environment and then run `pytest`.
        To have the test suite watch for changes in code and run automatically, use
        pytest-watch by running `ptw`.
        
        # License
        
        The code in this repository is licensed under Apache License 2.0, except for the
        dependencies included under `annif/static/css` and `annif/static/js`,
        which have their own licenses. See the file headers for details.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
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Provides-Extra: vw
Provides-Extra: voikko
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