Metadata-Version: 2.1
Name: datamart-materialize
Version: 0.11
Summary: Materialization library for Auctus
Home-page: https://gitlab.com/ViDA-NYU/auctus/auctus
Author: Remi Rampin
Author-email: remi.rampin@nyu.edu
Maintainer: Remi Rampin
Maintainer-email: remi.rampin@nyu.edu
License: Apache-2.0
Project-URL: Homepage, https://gitlab.com/ViDA-NYU/auctus/auctus
Project-URL: Source, https://gitlab.com/ViDA-NYU/auctus/auctus
Project-URL: Tracker, https://gitlab.com/ViDA-NYU/auctus/auctus/issues
Keywords: auctus,datamart
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Information Analysis
License-File: LICENSE.txt
License-File: NOTICE.txt
Requires-Dist: requests
Requires-Dist: xlrd
Requires-Dist: openpyxl
Requires-Dist: lxml
Requires-Dist: fastparquet (<0.8,>=0.7)
Requires-Dist: pyreadstat (<2.0,>=1.0)

Datamart materialization library
================================

This library can materialize datasets from Auctus, NYU's dataset search engine. You can use it to materialize search results directly on your side without relying on the server. It is also used internally by the service to materialize datasets (the ``/download`` endpoint downloads the dataset using this library then sends it to you).

See also:

* `The datamart-rest library for search/augmentation <https://pypi.org/project/datamart-rest/>`__
* `The datamart-profiler library, used to profile datasets for search <https://pypi.org/project/datamart-profiler/>`__
* `The datamart-augmentation library, used to performs data augmentation with a dataset from Auctus <https://pypi.org/project/datamart-augmentation/>`__
* `Auctus, NYU's dataset search engine <https://auctus.vida-nyu.org/>`__
* `Our project on GitLab <https://gitlab.com/ViDA-NYU/auctus/auctus>`__
