Intake: A general interface for loading data

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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.

Install

Recommended method using conda:

conda install -c intake 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 links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.0.9)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for jsignell from gravatar.com jsignell Avatar for mdurant from gravatar.com mdurant Avatar for seibert from gravatar.com seibert

Credits

Maintainer: Martin Durant

License

BSD

Requires

Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*

Classifiers

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intake-0.3.0.tar.gz (2.0 MB view details)

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Release history Release notifications | RSS feed

Pre-release

2.1.0a2

2 files

Pre-release

2.1.0a1

2 files

2.0.9

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2.0.8

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2.0.7

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2.0.6

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2.0.5

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2.0.4

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2.0.3

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2.0.1

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2.0.0

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2.0.0a2

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2.0.0a1

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0.7.0

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0.6.8

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0.6.7

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0.3.0 This release

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0.2.9

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