Ruby Gem for convenient reading and writing of CSV files. It has intelligent defaults, and auto-discovery of column and row separators. It imports CSV Files as Array(s) of Hashes, suitable for direct processing with ActiveRecord, kicking-off batch jobs with Sidekiq, parallel processing, or oploading data to S3. Similarly, writing CSV files takes Hashes, or Arrays of Hashes to create a CSV file.

FasterCSV is intended as a complete replacement to the CSV standard library. It is significantly faster and smaller while still being pure Ruby code. It also strives for a better interface.

Now you can use the super fast COPY for import/export data directly from your AR models.

csvreader - read tabular data in the comma-separated values (csv) format the right way (uses best practices out-of-the-box with zero-configuration)

Ruby CSV parser gem, written in pure C.

Bend CSVs to your will with declarative schemas.

CSV parsing awesomeness

Tabular is a Ruby library for reading, writing, and manipulating CSV, tab-delimited and Excel data.

csvhuman - read tabular data in the CSV Humanitarian eXchange Language (HXL) format, that is, comma-separated values (CSV) line-by-line records with a hashtag (meta data) line using the Humanitarian eXchange Language (HXL) rules

csvjson - read tabular data in the CSV <3 JSON format, that is, comma-separated values CSV (line-by-line) records with javascript object notation (JSON) encoding rules

CsvPirate is the easy way to create a CSV of essentially anything in Ruby, in full pirate regalia. It works better if you are wearing a tricorne!

csvrecord - read in comma-separated values (csv) records with typed structs / schemas

csvyaml - read tabular data in the CSV <3 YAML format, that is, comma-separated values CSV (line-by-line) records with yaml ain't markup language (YAML) encoding rules

Provides a simple dsl for creating csv import tasks.

http://github.com/sparkboxx/csv_importer Ever needed to import csv files where every row needs to be converted into a model? The CSV importer turns every row of a CSV file into an object. Each column is matched and tested against a given class. You can provide a dictionary with translations between the CSV column names and the object properties.

Turns csv files into hashes without reading the entire csv into memory

Yet another CSV parser with CSV header validation, based on CCSV (http://github.com/fauna/ccsv/).