Metadata-Version: 2.1
Name: scikit-tda
Version: 1.0.0
Summary: Topological Data Analysis for humans
Home-page: https://github.com/scikit-tda/scikit-tda
Author: Nathaniel Saul, Chris Tralie
Author-email: nathaniel.saul@wsu.edu, chris.tralie@gmail.com
License: MIT
Description: [![DOI](https://zenodo.org/badge/129452930.svg)](https://zenodo.org/badge/latestdoi/129452930)
        [![Pypi](https://badge.fury.io/py/scikit-tda.svg)](https://badge.fury.io/py/scikit-tda)
        [![Downloads](https://pypip.in/download/scikit-tda/badge.svg)](https://pypi.python.org/scikit-tda/)
        
        Scikit-TDA is a home for Topological Data Analysis Python libraries intended for non-topologists.
        
        This project aims to provide a curated library of TDA Python tools that are widely usable and easily approachable. It is structured so that each package can stand alone or be used as part of the ``scikit-tda`` bundle.
        
        
        # Documentation 
        
        For complete documentation please checkout [scikit-tda.org](https://scikit-tda.org).
        
        # Contact 
        
        If you would like to contribute, please reach out to us on [github](https://github.com/scikit-tda), [twitter](https://twitter.com/scikit_tda) or on [Slack](scikit-tda.slack.com).
        
        
        # Setup
        
        To install all these libraries
        ```
            pip install scikit-tda
        ```
        
        # Citations
        
        If you would like to cite Scikit-TDA, please use the following citation/bibtex
        
        > Saul, Nathaniel and Tralie, Chris. (2019). Scikit-TDA: Topological Data Analysis for Python. Zenodo. http://doi.org/10.5281/zenodo.2533369
        
        ```
        @misc{scikittda2019,
          author       = {Nathaniel Saul, Chris Tralie},
          title        = {Scikit-TDA: Topological Data Analysis for Python},
          year         = 2019,
          doi          = {10.5281/zenodo.2533369},
          url          = {https://doi.org/10.5281/zenodo.2533369}
        }
        ```
        
        # License
        
        This package is licensed with the MIT license.
        
        # Contributing
        
        Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all equally valuable so please don't feel you can't contribute. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch.
        
        
Keywords: topology data analysis,algebraic topology,unsupervised learning,persistent homology,persistence images,persistence diagrams,uniform manifold approximation and projection,sheaf theory,mapper,data visualization
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Healthcare Industry
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >3.3
Description-Content-Type: text/markdown
Provides-Extra: testing
Provides-Extra: docs
