Skip to main content

Data load and catalog system

Project description

Intake: A general interface for loading data

Logo

Build Status Coverage Status Documentation Status Join the chat at https://gitter.im/ContinuumIO/intake Waffle.io - Columns and their card count

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.txt
  • python setup.py develop
  • Verify development environment by running the unit tests with py.test.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

intake-0.4.3.tar.gz (2.0 MB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page