Metadata-Version: 2.1
Name: obj-tables
Version: 1.0.0
Summary: Toolkit for modeling complex datasets with collections of user-friendly tables
Home-page: https://github.com/KarrLab/obj_tables
Author: Karr Lab
Author-email: info@karrlab.org
License: MIT
Download-URL: https://github.com/KarrLab/obj_tables
Keywords: object model,schema,workbook,Excel,validation
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Software Development :: Object Brokering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
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|PyPI package| |Documentation| |Test results| |Test coverage| |Code
analysis| |License| |Analytics|

*ObjTables*: Toolkit for modeling complex data as collections of user-friendly tables with the ease of Excel and the power of schemas
=====================================================================================================================================

*ObjTables* is a toolkit for using schemas to model collections of
tables that represent complex datasets, combining the ease of use of
Excel with the rigor and power of schemas.

*ObjTables* makes it easy to:

-  Use collections of tables (e.g., an Excel workbook) to represent
   complex data consisting of multiple related objects of multiple types
   (e.g., rows of worksheets), each with multiple attributes (e.g.,
   columns).
-  Use complex data types (e.g., numbers, strings, numerical arrays,
   symbolic mathematical expressions, chemical structures, biological
   sequences, etc.) within tables.
-  Use Excel as a graphical interface for viewing and editing complex
   datasets.
-  Use embedded tables and grammars to encode relational information
   into columns and groups of columns of tables.
-  Define clear schemas for tabular datasets.
-  Use schemas to rigorously validate tabular datasets.
-  Use schemas to parse tabular datasets into data structures for
   further analysis in languages such as Python.
-  Compare, merge, split, revision, and migrate tabular datasets.

The *ObjTables* toolkit includes five components:

-  Format for schemas for tabular datasets
-  Numerous data types
-  Format for tabular datasets
-  Software tools for parsing, validating, and manipulating tabular
   datasets
-  Python package for more flexibility and analysis

Please see https://objtables.org for more information.

Installing the command-line program and Python API
--------------------------------------------------

Please see the
`documentation <https://docs.karrlab.org/obj_tables/installation.html>`__.

Examples, tutorials, and documentation
--------------------------------------

Please see the `user documentation <https://www.objtables.org>`__,
`developer documentation <https://docs.karrlab.org/obj_tables>`__, and
`tutorials <https://sandbox.karrlab.org>`__.

License
-------

*ObjTables* is released under the `MIT license <LICENSE>`__.

Development team
----------------

*ObjTables* was developed by the `Karr Lab <https://www.karrlab.org>`__
at the Icahn School of Medicine at Mount Sinai in New York, USA and the
`Applied Mathematics and Computer Science, from Genomes to the
Environment research unit <http://maiage.jouy.inra.fr/?q=en>`__ at the
`Institut National de la Recherche
Agronomique <https://www.jouy.inra.fr/en>`__ in Jouy en Josas, FR.

-  `Jonathan Karr <https://www.karrlab.org>`__
-  `Arthur
   Goldberg <https://www.mountsinai.org/profiles/arthur-p-goldberg>`__
-  `Wolfram
   Liebermeister <https://www.metabolic-economics.de/liebermeister/>`__
-  `John Sekar <https://www.linkedin.com/in/john-sekar/>`__
-  `Bilal Shaikh <https://www.bshaikh.com>`__

Questions and comments
----------------------

Please contact the `Karr Lab <mailto:info@karrlab.org>`__ with any
questions or comments.

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