{ "info": { "author": "Rolando (Max) Espinoza", "author_email": "rolando@rmax.io", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5" ], "description": "==========\nDataBrewer\n==========\n\n.. image:: https://readthedocs.org/projects/databrewer/badge/?version=latest\n :target: https://readthedocs.org/projects/databrewer/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://img.shields.io/pypi/v/databrewer.svg\n :target: https://pypi.python.org/pypi/databrewer\n\n.. image:: https://img.shields.io/travis/rolando/databrewer.svg\n :target: https://travis-ci.org/rolando/databrewer\n\n.. image:: https://codecov.io/github/rolando/databrewer/coverage.svg?branch=master\n :alt: Coverage Status\n :target: https://codecov.io/github/rolando/databrewer\n\n.. image:: https://landscape.io/github/rolando/databrewer/master/landscape.svg?style=flat\n :target: https://landscape.io/github/rolando/databrewer/master\n :alt: Code Quality Status\n\n.. image:: https://requires.io/github/rolando/databrewer/requirements.svg?branch=master\n :alt: Requirements Status\n :target: https://requires.io/github/rolando/databrewer/requirements/?branch=master\n\nThe missing datasets manager.\n\n* Free software: MIT license\n* Documentation: https://databrewer.readthedocs.org.\n\n.. image:: http://i.imgur.com/FBsIV7g.gif\n :alt: DataBrewer preview\n\n\nDatabrewer let you search and discover datasets. Inspired by Homebrew, it\ncreates and index of known datasets that you can download with a single\ncommand. It will provide an API to allow to do the same in, for example, a\nIPython notebook so you no longer have to manually download datasets.\n\n\nQuickstart\n----------\n\nInstall ``databrewer``::\n\n pip install databrewer\n\nUpdate the recipes index::\n\n databrewer update\n\nSearch for some keywords::\n\n databrewer search nyc taxi\n\nExample output::\n\n andresmh-nyc-taxi-trips - NYC Taxi Trips. Data obtained through a FOIA request\n nyc-tlc-taxi - This dataset includes trip records from all trips\n completed in yellow and green taxis in NYC in 2014 and\n select months of 2015.\n\nLet's check the ``nyc-tlc-taxi`` dataset::\n\n databrewer info nyc-tlc-taxi\n\n\nWe can either download the entire dataset (which is huge!)::\n\n databrewer download nyc-tlc-taxi\n\nOr just a few files in the dataset, or select a subset::\n\n databrewer download \"nyc-tlc-taxi[green][2014-*]\"\n\n.. note::\n\n Note that ``*`` is the standard glob operator and ``[green]`` acts as selector.\n The selectors depends on how the recipe if defined. When using selectors you\n must enclose the name in quotes in most shells.\n\nFinally you need to know where the files are located for further processing::\n\n databrewer download \"nyc-tlc-taxi[green][2014-*]\"\n\nExample output::\n\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-01.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-02.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-03.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-04.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-05.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-06.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-07.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-08.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-09.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-10.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-11.csv\n /Users/rolando/.databrewer/datasets/nyc-tlc-taxi/green_tripdata_2014-12.csv\n\nDatasets\n--------\n\nThe aim is to index known and not-so-known datasets. There is no plans to\nstandarize the dataset format as we want to keep it as published by the\nauthors.\n\nRecipes\n~~~~~~~\n\nDatasets are defined in recipes which contains information about the dataset\nand where to find it.\n\nThese recipes are community maintained and hosted in the `databrewer-recipes`_\nrepository.\n\nRoadmap\n-------\n\n* Include an API. For now it only provides a CLI-interface but in the near\n future it will include an API so you can search, download and load datasets\n directly in your Python code.\n\nContributing\n------------\n\nYou can help by the following means:\n\n* Spread the word!\n* `Request missing features `_\n* `Report usability issues or bugs `_\n* `Request missing datasets `_\n\nSee `CONTRIBUTING.rst `_ for more information.\n\n\n.. _`databrewer-recipes`: https://github.com/rolando/databrewer-recipes/blob/master/README.rst\n\n=======\nHistory\n=======\n\n\n0.1.1 (2017-05-05)\n------------------\n\nFix packaging issues.\n\n0.1.0 (2017-05-05)\n------------------\n\n* First release on PyPI.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/rolando/databrewer", "keywords": "databrewer", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "databrewer", "package_url": 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