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.

Execute SQL statements against Databricks SQL Warehouse with synchronous and asynchronous polling support, inline results, and external link downloads.

INPUT, FILTER, OUTPUT data with RULES and code

Scaffolding to make importing data easy

DSL for manipulating tabular data

Parse German DATANORM files like you belong to the 90s

A mountable Rails engine providing a complete data import workflow: upload/configure, preview with validation, and import. Supports CSV, JSON, XLSX, and API sources with a simple DSL for defining import targets.

将 Rails 项目的数据库 schema 导出为文档，支持 ruby, sql, csv, excel 格式

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

A production-grade decision agent that provides deterministic rule evaluation, conflict resolution, and full audit replay capabilities. Framework-agnostic and AI-optional.

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.

A production-grade Ruby SDK for Dhan API v2 built for algo trading, portfolio monitoring, and live trading systems. Provides typed models, token lifecycle management, dry-validation contracts, resilient WebSocket streaming, and safety-focused order workflows for Ruby applications.

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

a collection of gems

evaluates some ruby code on all lines of the csv input

evaluates some ruby code on each line of the csv input

maps a csv file to another csv file

merges multiple csv files with headers e.g. `csv-merge users_1.csv users_2.csv users.csv`