plucks each line of the csv input

returns a csv by unique keys, can be index or name

sorts csv by keys

Scripts for converting Digital Scriptorium member data to the DS import spreadsheet format and for extracting values for authority file reconciliation.

Posts data from automation systems to dubbletrack.com. Requires dubbletrack account

This module provides CSV table adapter for duckdb. You can access CSV like as duckdb table by using this module.

Access the dumbstockapi.com website

Provides a unified interface across data warehouses to connect, execute, and introspect. This is not an ORM but a fast integrationg solution. It is quite easy to add new database adapters. Supports popular cloud warehouses too.

A utility for downloading and parsing e621's exports

EasyCols is a flexible command-line utility for extracting specific columns from structured text data in various formats (CSV, TSV, table, plain text). It supports sophisticated parsing options including quote handling, comment stripping, header processing, and language-specific comment patterns. It can be used on both files and STDIN.

Simplify the way you fetch model data, making coding smoother and data exporting handling a breeze

A library for easily generating seed data in Ruby on Rails from .CSV files

Find and parse manifests

A command line tool to create Pivotal Tracker stories from CSV file

ElaineCrud provides a reusable BaseController and views to quickly generate CRUD interfaces for any ActiveRecord model with minimal configuration.

EnumCSV exposes a single method, csv, for easily creating CSV output/files from enumerable objects.

Search GitHub code or gists for .env files containing high-entropy secrets like tokens and keys.

Ruby implementation of the parsing and computation of ephemerides from NASA/JPL Development Ephemerides DE4xx and IMCCE INPOP

Etl Integrations is a comprehensive Ruby gem designed to facilitate seamless connectivity between various data sources and SaaS platforms.

Measures quality metrics like faithfulness, relevance, context precision, and answer correctness for LLM and RAG applications. Think Ragas or DeepEval for Ruby.