Help handle CSVs in a more efficient way

Help handle CSVs in a more efficient way

Help handle CSVs in a more efficient way

csv linter and autofixer like rubocop

CSV Indexer makes it simple the indexation and searching in lasge CSV files. It is not as robust as Lucence, but it is simple and cost-effective. May index files with millions of rows and find specific rows in matter of seconds. Find documentation here: https://github.com/leandrosardi/csv-indexer.

Because I hate excel, I'd rather query my csv files like I would query a db

This gem provides a simple framework for CSV::Table/CSV::Row lintingusing custom rules for columns and rows

csv_rb provides an csv renderer so you can move all your spreadsheet code from your controller into view files. Now you can keep your controllers thin!

Tools for debugging malformed CSV files

A small gem to track custom events and export saved data

Report compose compiler metrics

Daru (Data Analysis in RUby) is a library for analysis, manipulation and visualization of data. Daru works seamlessly accross interpreters and leverages interpreter-specific optimizations whenever they are available. It is the default data storage gem for all the statsample gems (glm, timeseries, etc.) and can be used with many others like mixed_models, gnuplotrb and iruby. Daru Lite is a fork of Daru that aims to focus on data manipulation and stability.

INPUT, FILTER, OUTPUT data with RULES and code

DSL for manipulating tabular data

DBViewer is a mountable Rails engine that provides a simple interface to view database tables and their records.

DSL for rendering CSVs from an array of objects

Handling of references and definitions with asciidoctor

This gem provides a suite of utilities for developers to enhance their productivity.

Returns a report on the health of your markdown documentation. The generated report is a CSV.

a collection of gems