SmarterCSV is a high-performance CSV reader and writer for Ruby focused on fastest end-to-end ingestion — not just parsing. It returns ready-to-use hashes with configurable header and value transformations, intelligent defaults, and automatic delimiter discovery. Built for real-world data pipelines, SmarterCSV supports chunked processing for large files, streaming via Enumerable APIs, and C acceleration to optimize the full ingestion path (parsing + hash construction + conversions). Designed to handle messy user-uploaded CSV while remaining easy to integrate with Rails, ActiveRecord imports, Sidekiq jobs, parallel processing, and S3-based workflows.

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.

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!

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

CSV parsing awesomeness

Provides a simple dsl for creating csv import tasks.

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

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.

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

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