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) 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.

Recommended method using conda:

conda install -c intake intake

• Create development Python environment.
• pip install -r requirements.txt
• python setup.py develop
• Verify development environment by running the unit tests with py.test.