Metadata-Version: 1.2
Name: Snowballing
Version: 0.2.0
Summary: Provides tools for literature snowballing
Home-page: https://github.com/JoaoFelipe/snowballing
Author: Joao Felipe Pimentel
Author-email: joaofelipenp@gmail.com
License: MIT
Description: Snowballing
        ===========
        
        This project provides tools for perfoming a liberature review through
        snowballing. It includes Jupyter Notebook widgets that assist the
        backward and forward steps of literature snowballing, notebooks that
        assist in inserting citations in the database, and notebooks for
        analyzing the snowballing and producing citation graphs, publication
        place histograms, and a summarization of the snowballing steps.
        
        This package was tested on Python 3.6 using Windows, but it should
        support Python > 3.5 in any operating system. Please, open an issue if
        it is not the case.
        
        Please, find the project documentation at
        https://joaofelipe.github.io/snowballing
        
        Getting started
        ---------------
        
        To install the tool, you should follow these instructions:
        
        -  First, install the python package:
        -  ``$ pip install snowballing``
        
        -  Then, download and install the latest
           `geckodriver <https://github.com/mozilla/geckodriver/releases>`__
        -  In my case, I put the 'geckodriver.exe' file in the Firefox directory
           (``C:\Program Files (x86)\Mozilla Firefox``)
        -  And I add the directory to the PATH environment variable
        
        -  If you want to export the snowballing history (provenance), you must
           also install the following tools
        -  `provtoolbox <http://lucmoreau.github.io/ProvToolbox/>`__
        -  `GraphViz <http://www.graphviz.org/>`__
        
        For starting a new literature review project, please run:
        
        .. code:: bash
        
            $ snowballing start literature
        
        This command will create a directory called ``literature`` (you are free
        to use other name in the command) with the notebooks for performing the
        snowballing and analyzing it, and an example database.
        
        Inside the directory, start Jupyter:
        
        .. code:: bash
        
            $ cd literature
            $ jupyter notebook
        
        And open the file `Index.ipynb <example/Index.ipynb>`__. This file
        contains all the instructions for understanding the database and
        performing the snowballing.
        
        Contributing
        ------------
        
        Feel free to contribute to the project!
        
        For installing in development mode, clone the repository and use
        ``pip install -e``:
        
        .. code:: bash
        
            $ git clone git@github.com:JoaoFelipe/snowballing.git
            $ cd snowballing
            $ pip install -e snowballing
        
        Notes
        -----
        
        This project started as part of a literature snowballing. The tools were
        developped out of necessity in a adhoc way. Thus, it has some bad design
        decisions, such as using Python scripts as a database, and choosing
        field names that are far from ideal.
        
        Contributions to fix these and other issues are welcome! If you are
        going to change a field name that is used by the tool, please, try to
        make it configurable.
        
        Contact
        -------
        
        Do not hesitate to contact me:
        
        -  João Felipe Pimentel joaofelipenp@gmail.com
        
        License Terms
        -------------
        
        The MIT License (MIT)
        
        Copyright (c) 2017 Joao Felipe Pimentel joaofelipenp@gmail.com
        
        Permission is hereby granted, free of charge, to any person obtaining a
        copy of this software and associated documentation files (the
        "Software"), to deal in the Software without restriction, including
        without limitation the rights to use, copy, modify, merge, publish,
        distribute, sublicense, and/or sell copies of the Software, and to
        permit persons to whom the Software is furnished to do so, subject to
        the following conditions:
        
        The above copyright notice and this permission notice shall be included
        in all copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
        OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
        MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
        IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
        CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
        TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
        SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
        
Keywords: snowballing literature paper article scholar
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.5
