Export your data as various types of spreadsheets. Supports csv and xlsx output.

Rusk is library that read and write Open Document Spreadsheet Format(ods).

SpreadsheetGoodies is a collection of tools to help work with Excel and Google Drive spreadsheets. It relies on other gems to do the actual work of reading and writing to spreadsheet documents. It main features are:

Aspire Budget is a free zero-based envelope-style budgeting spreadsheet built with Google Sheets by Matthew Alcorn. This gem aims to provide an expressive Ruby interface to it.

Zz structures are an interesting way of representing relations invented by Ted Nelson, whose domain model I provide in a gem Yzz. In this gem, YNelson, I combine Yzz with the universal Petri net provided by YPetri (another gem I wrote) to obtain a hybrid data structure that formalizes and generelizes a spreadsheet. Because let us note spreadsheets (as I have seen them) can be considered Petri nets of a kind, with cell functions acting as Petri net transitions. At the same time, spreadsheets are globally orthogonal structures with 3 typical dimensions (rows, columns and sheets). By using zz structures, the globally orthogonal spreadsheet is generalized as a locally orthogonal zz structure, with relations represented as zz dimensions, thus generalizing and formalizing a spreadsheet. The catch is that I have not yet finished the thinking process regarding what everything should be a zz object: Places (cells) and transitions definitely yes, but how about nets and dimensions? Should YNelson go as far as making namespaces into zz objects? The reason why these questions are hard to answer is because Ted Nelson himself, while providing interfaces guidelines (zz structure views, cursors...) did not comment on these questions. While being a (textual) DSL, YNelson aims to provide convenience on par with actual spreadsheet apps. Unlike YPetri, YNelson also aims to be able to specify more than one Petri net node per command, but this is still under development. See the user guide and the documentation for the details. YNelson documentation is available online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.

Spreadsheet loader for RgGen register map.

Library for reading spreadsheets with support for multiple backends

xlsx spreadsheet generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx helps you create beautiful Office Open XML Spreadsheet documents ( Excel, Google Spreadsheets, Numbers, LibreOffice) without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.

This is a ChupaText decomposer plugin to extract text and meta-data from OpenDocument Spreadsheet file format file (`.ods` file). This plugin uses [LibreOffice](https://www.libreoffice.org/). You can use `libreoffice-opendocument-spreadsheet` decomposer. It depends on `pdf` decomposer. Because it converts a office file to PDF file and extracts text and meta-data by `pdf` decomposer.

Rails: Import data from google spreadsheet to database or files, download files that attach to rows

This adds some functions onto the Creek gem, that makes it a bit easier to work with spreadsheets

Assign random pairs from a google docs spreadsheet

Compiles a 6k erg test 500m splits spreadsheet from Concept2 stroke data files

Store Ruboty's memory in Google Spreadsheet.

Library to generate OpenDocument (ODF) Spreadsheet documents.

Generate metadata from Google Spreadsheet

Google Spreadsheet importer for Rails app.

Convert Google Spreadsheets to Rails Models

Rails asset pipeline for tiny editable jQuery Bootstrap spreadsheet

Generate HTML tables which popular spreadsheet software packages know how to read