Libraries tagged by large data

Large Hadron Migrator for phinx

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A flexible and efficient library for exporting data to Excel (XLS, XLSX) with support for mappings, formatters, and handling large datasets. Working with less dependencies, avoid future breaks & conclusions.

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An asynchronous publishing hook for large datasets.

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This package allows to evaluate (parse with mapping) large amounts of data in flexible manner, providing various processing functions

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Minimalistic, lightweight library for converting PHP data types to readable strings. Great for type-safe outputs, exception messages, transparency during debugging, and similar things. Also helps avoiding innate problems such as printing recursive objects and large arrays.

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A tool for mysql table with large data to sync/remove-old...

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Collection of tools for parsing large data sets (CSV, XML, JSON)

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Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [Foundation](https://get.foundation/)

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Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [SemanticUI](https://semantic-ui.com/)

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Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [jQueryUI](http://jqueryui.com/)

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Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [jQueryUI](http://jqueryui.com/)

Go to Download

Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [Bootstrap](https://getbootstrap.com/docs/3.3/)

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Scroller is a virtual rendering plug-in for DataTables which allows large datasets to be drawn on screen very quickly. Virtual rendering means is that only the visible portion of the table is drawn, while the scrolling container gives the visual impression that the whole table is visible, allowing excellent browser performance. This is Scroller for DataTables with styling for [Bulma](https://bulma.io/)

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When displaying large amounts of data in a table, it can often be useful for the end user to have the column titles always visible. This is particularly true if using DataTables with pagination disabled, or the display length is set to a high value. The FixedHeader extension provides this ability. This is FixedHeader for DataTables with styling for [Foundation](https://get.foundation/)

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When displaying large amounts of data in a table, it can often be useful for the end user to have the column titles always visible. This is particularly true if using DataTables with pagination disabled, or the display length is set to a high value. The FixedHeader extension provides this ability. This is FixedHeader for DataTables with styling for [SemanticUI](https://semantic-ui.com/)

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