Metadata-Version: 2.1
Name: intake
Version: 0.4.1
Summary: Data load and catalog system
Home-page: https://github.com/ContinuumIO/intake
Maintainer: Martin Durant
Maintainer-email: mdurant@anaconda.com
License: BSD
Description: # Intake: A general interface for loading data
        
        ![Logo](https://github.com/ContinuumIO/intake/raw/master/logo-small.png)
        
        [![Build Status](https://travis-ci.org/ContinuumIO/intake.svg?branch=master)](https://travis-ci.org/ContinuumIO/intake)  [![Documentation Status](https://readthedocs.org/projects/intake/badge/?version=latest)](http://intake.readthedocs.io/en/latest/?badge=latest) [![Join the chat at https://gitter.im/ContinuumIO/intake](https://badges.gitter.im/ContinuumIO/intake.svg)](https://gitter.im/ContinuumIO/intake?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
        
        Intake is a lightweight set of tools for loading and sharing data in data science projects.  
        Intake helps you:
        
        * Load data from a variety of formats (see the [current list of known plugins](http://intake.readthedocs.io/en/latest/plugin-directory.html)) into containers you already know, like Pandas dataframes, Python lists, NumPy arrays, and more.
        * Convert boilerplate data loading code into reusable Intake plugins
        * Describe data sets in catalog files for easy reuse and sharing between projects and with others.
        * Share catalog information (and data sets) over the network with the Intake server
        
        Documentation is available at [Read the Docs](http://intake.readthedocs.io/en/latest).
        
        Install
        -------
        
        Recommended method using conda:
        ```bash
        conda install -c conda-forge intake
        ```
        
        
        Development Environment
        ----------------------------
         * Create development Python environment.
         * `pip install -r requirements.txt`
         * `python setup.py develop`
         * Verify development environment by running the unit tests with `py.test`.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Description-Content-Type: text/markdown
