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@ -262,17 +262,18 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for building command-line application.* *Libraries for building command-line application.*
* Command-line Application Development * Command-line Application Development
* [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations).
* [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal.
* [cement](http://builtoncement.com/) - CLI Application Framework for Python. * [cement](http://builtoncement.com/) - CLI Application Framework for Python.
* [click](http://click.pocoo.org/dev/) - A package for creating beautiful command line interfaces in a composable way. * [click](http://click.pocoo.org/dev/) - A package for creating beautiful command line interfaces in a composable way.
* [cliff](https://docs.openstack.org/developer/cliff/) - A framework for creating command-line programs with multi-level commands. * [cliff](https://docs.openstack.org/developer/cliff/) - A framework for creating command-line programs with multi-level commands.
* [clint](https://github.com/kennethreitz/clint) - Python Command-line Application Tools. * [clint](https://github.com/kennethreitz/clint) - Python Command-line Application Tools.
* [colorama](https://pypi.python.org/pypi/colorama) - Cross-platform colored terminal text.
* [docopt](http://docopt.org/) - Pythonic command line arguments parser. * [docopt](http://docopt.org/) - Pythonic command line arguments parser.
* [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line * [Gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
* [Python-Fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object. * [Python-Fire](https://github.com/google/python-fire) - A library for creating command line interfaces from absolutely any Python object.
* [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit) - A library for building powerful interactive command lines. * [python-prompt-toolkit](https://github.com/jonathanslenders/python-prompt-toolkit) - A library for building powerful interactive command lines.
* Terminal Rendering
* [asciimatics](https://github.com/peterbrittain/asciimatics) - A package to create full-screen text UIs (from interactive forms to ASCII animations).
* [bashplotlib](https://github.com/glamp/bashplotlib) - Making basic plots in the terminal.
* [colorama](https://pypi.python.org/pypi/colorama) - Cross-platform colored terminal text.
* Productivity Tools * Productivity Tools
* [aws-cli](https://github.com/aws/aws-cli) - A universal command-line interface for Amazon Web Services. * [aws-cli](https://github.com/aws/aws-cli) - A universal command-line interface for Amazon Web Services.
* [cookiecutter](https://github.com/audreyr/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates). * [cookiecutter](https://github.com/audreyr/cookiecutter) - A command-line utility that creates projects from cookiecutters (project templates).
@ -343,7 +344,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Pandas interface. * [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Pandas interface.
* [Orange](https://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or scripts. * [Orange](https://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or scripts.
* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools. * [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
* [Optimus](https://github.com/ironmussa/Optimus) - Cleansing, pre-processing, feature engineering, exploratory data analysis and easy Machine Learning with a PySpark backend. * [Optimus](https://github.com/ironmussa/Optimus) - Cleansing, pre-processing, feature engineering, exploratory data analysis and easy Machine Learning with a PySpark backend.
## Data Validation ## Data Validation