Metadata-Version: 2.1
Name: rows
Version: 0.4.2.dev0+71afc647
Summary: A common, beautiful interface to tabular data, no matter the format
Home-page: https://github.com/turicas/rows/
Author: Álvaro Justen
Author-email: alvarojusten@gmail.com
Keywords: tabular table csv xls xlsx xpath ods sqlite html pdf rows data opendata
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Database
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Markup :: HTML
Classifier: Topic :: Utilities
Provides-Extra: all
Provides-Extra: cli
Provides-Extra: detect
Provides-Extra: html
Provides-Extra: ods
Provides-Extra: parquet
Provides-Extra: pdf
Provides-Extra: pdf-pdfminer.six
Provides-Extra: pdf-pymupdf
Provides-Extra: postgresql
Provides-Extra: utils
Provides-Extra: xls
Provides-Extra: xlsx
Provides-Extra: xpath
License-File: LICENSE
License-File: AUTHORS.md

No matter in which format your tabular data is: rows will import it,
automatically detect types and give you high-level Python objects so you can
start working with the data instead of trying to parse it. It is also
locale-and-unicode aware. :)

Read the documentation and learn how simple is to use it: http://turicas.info/rows
