Data load and catalog system
Project description
Intake: A general interface for loading data
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.
Status of intake and related packages is available at Status Dashboard
Install
Recommended method using conda:
conda install -c conda-forge intake
Development Environment
- Create development Python environment.
pip install -r requirements.txtpython setup.py develop- Verify development environment by running the unit tests with
py.test.
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