Project
Reverse Dependencies for turbo-rails
The projects listed here declare turbo-rails as a runtime or development dependency
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Extends Active Record to add simple function for draw the Force Directed Graph with html.
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AdSpace
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AdvancedSelect provides helper-rendered Rails partials, Stimulus dropdown behavior, Turbo Stream-compatible option updates, plain CSS, and i18n defaults while leaving data loading, authorization, and endpoints to the host app.
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Rails engine that provides real-time monitoring for LLM usage. Cost tracking, throughput metrics, error rates, response times. Slack alerts. Real-time updates via Hotwire Turbo. Works with any ask-rb provider via ask-instrumentation events.
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Collection of ViewComponents objects for backoffice
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UI components for StrongMind applications.
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An enhanced file upload field for Rails forms, powered by web components. Provides drag-and-drop uploads, image/video previews, and seamless ActiveStorage integration.
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Description of BeetleReporter.
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A Rails engine that provides a beautiful dashboard to monitor and debug HTTP requests, similar to Laravel Telescope. Includes a terminal UI with vim keybindings.
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You simply add and configure the engine, and you have a new powerful tool to get things done.
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Adds a fully-featured, customisable bug and feature reporting flow to any Rails app: a schema-driven form, screenshot uploads, a my-reports list, and signed closure webhooks from the companion bug-reports API which files GitHub issues.
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With this gem, you can efficiently create beautiful index and form pages, and form fields with labels using the Bulma CSS library. You can also create embedded, editable multi-object subforms.
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Extend Turbo Streams with Custom Turbo Stream Actions or CableReady operations
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CafeCar is a composable view extension for Rails: it renders complete index, show, new, and edit interfaces straight from your models, with no DSL and no boilerplate. Every index ships with keyword search, URL-based filtering and sorting, pagination, and one-click CSV export. Authorization runs on Pundit with attribute-level permissions; forms and Turbo Stream (Hotwire) responses render automatically. Every default can be overridden application-wide or per model with ordinary Rails. It makes admin panels, internal tools, and back-office apps on Rails 8 trivial.
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Cardinal AI is a local, per-repo AI Kanban tool: columns are policies, cards become Claude-powered worker agents, and work ships as pull requests. Run `cardinal` inside any git repository to get a board for it at http://localhost:4000.
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🐻 Watch your back! Young man.
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chats is a drop-in gem to add chat messaging to your Rails app. It implements a real-time messaging engine for Ruby on Rails 8+ apps: direct messages (DMs), group chats, image attachments, emoji reactions, read receipts, unread badges, and typing indicators. All rendered server-side and updated live with Hotwire (Turbo Streams over Action Cable), so it ships with zero custom JavaScript build steps and works with importmaps out of the box. Any model can converse via a single `acts_as_messager` macro (users, organizations, support agents — participants are polymorphic), conversations can be optionally attached to any domain record via `acts_as_chat_subject` (so users can chat about a specific order, a listing, a booking), and the whole inbox UI is overridable view-by-view like Devise. It exposes small adapter seams a blocked-users lookup, a `can_message` policy, and a notifier hook; so it snaps onto the `moderate` gem for Trust & Safety (report/block/filter, DSA + app-store compliance) and onto any notification system (like the `noticed` gem) without any hard dependencies. Messages support soft deletion, editing, system messages posted by your app, per-sender rate limiting, and optional encryption at rest.
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A mountable Rails CMS engine. Multi-site, multilingual, content blocks, page tree, media management, forms, headless JSON API, and webhooks.
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A unified platform for knowledge, task management, and chat communication with AI Agents
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CompletionKit is a prompt testing platform that runs as a Rails engine or a standalone app. Run prompts against real datasets, score every output with an LLM judge against criteria you define, track prompt versions, and get AI-generated improvement suggestions grounded in your actual results. Includes a web UI, REST API, and a built-in MCP server with 34 tools.
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