A thread safe, Redis backed queue with the ability to delay items from being dequeued

DeprecateSoft is a lightweight Ruby gem that lets you gracefully deprecate methods in your codebase without breaking functionality. It wraps existing instance or class methods and lets you plug in custom before/after hooks for tracking usage via logging, Redis, DataDog, or any other observability tools. Once you verify in your tracking that a method is no longer called, you can remove it safely from your code base. This is especially useful in large codebases where you want to safely remove legacy methods, but first need insight into whether and where they're still being called. Hooks are configured once globally and apply project-wide. Fully compatible with Rails or plain Ruby applications.

Collects and aggregates warnings and deprecations. Optimized for production environment.

Inspect Redis databases and print statistics about the keys

A system manager's toolkit to detect and analyze various database systems like Postgres, MySQL, Redis, etc.

This gem provides a strategy for revoking JWT tokens in a Rails application using Devise, utilizing Redis for token storage and revocation management.

DHC is an advanced HTTP client. Implementing basic http-communication enhancements like interceptors, exception handling, format handling, accessing response data, configuring endpoints and placeholders and fully compatible, RFC-compliant URL-template support.

Communication prototyping platform

Startkit for new project from DigitalHeroes

Description of Dingtalk.

Make distributed Ruby applications

Distributed flow engine based on redis and rabbitmq

Keep track of distributed jobs spanning multiple workers using redis

This gem allows you to lock specific chunks of code based on a shared key. It's a Mutex, but locks beyond a single machine by utilizing Redis's SETNX.

Адаптер собственного сервиса генерации документов

Helps schedule jobs

Manage Docker containers for a development workflow

The Ruby library, Documentrix, is designed to provide a way to build and query vector databases for applications in natural language processing (NLP) and large language models (LLMs). It allows users to store and retrieve dense vector embeddings for text strings.

Generate unique IDs with Redis for distributed systems, based heavily off of Icicle and Twitter Snowflake

Main core elements