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Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook
PivotTable.js is a Javascript PivotTable and Pivot Chart library with drag-drop interactivity, and it can now be used with Jupyter/IPython Notebook via the pivottablejs module. I first built PivotTable.js with a plan to build an in-browser data analysis tool, and got as far as one where you could load up a CSV file in the browser for display. Since then, however, the Jupyter project has gathered steam and now provides a browser-based interface to some of the most powerful data processing libraries in the world, so it makes sense to interface with it.
littletable is a lightweight in-memory data manager of collections of Python objects, providing ORM-like access for querying and joining data using object attributes as pseudo-columns.
Python scripts that help you pull out hardcoded strings from your source codes and represent them as a .csv table. You can then write localized versions of those strings and put them back into your code.
Currently supports: .php, .js, .html, .sql
This tool creates a PHP class to interface to a given database table. The PHP class is a simple relational object mapper. It maps table columns to class attributes. It provides basic CRUD methods as well as utility methods such as CSV import and export.