Project

Reverse Dependencies for concurrent-ruby

The projects listed here declare concurrent-ruby as a runtime or development dependency

0.02
No commit activity in last 3 years
No release in over 3 years
Take a peek into the Postgres queries made during your application's requests.
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0.02
Low commit activity in last 3 years
A long-lived project that still receives updates
Provides the ability to create Active Record objects from Protocol Buffer messages and vice versa.
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The project is in a healthy, maintained state
== Rails-native failure investigation Rails Error Dashboard (RED) is an open-source, self-hosted Rails engine for investigating production exceptions without sending error data to a monitoring vendor. It groups errors and records request context and cause chains and, when enabled, breadcrumbs plus local and instance variables captured before Ruby unwinds the stack. == What it records * Rails and Ruby runtime health on the error record, refreshed on every captured occurrence: Active Record pool, Puma, background jobs, GC, memory, threads, file descriptors and system pressure * Built-in storm protection that progressively sheds expensive context and I/O during error floods while retaining useful exemplars and exact occurrence counts * Copy as RSpec, curl or LLM prompt; swallowed-exception detection; LLM observability without prompt capture; OpenTelemetry span export * Workflow, notifications (Slack, Email, Discord, PagerDuty, webhooks) and two-way issue sync with GitHub, GitLab, Codeberg and Linear * Rails-specific operational views: jobs, database, cache, Action Cable, Active Storage, Rack::Attack and deprecations == Running it Run RED with your application's database or an isolated error database, on PostgreSQL, MySQL/Trilogy or SQLite. The dashboard is translated into 11 languages (French native-reviewed; the rest machine-translated and awaiting native review). A self-hosted Sentry alternative that keeps error data in your own database. The gem is MIT and free forever. Supports Rails 7.0-8.1 and Ruby 3.2-4.0. Beta: APIs may change before 1.0. Live demo: https://rails-error-dashboard.anjan.dev Documentation: https://AnjanJ.github.io/rails_error_dashboard
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0.02
No release in over 3 years
Low commit activity in last 3 years
There's a lot of open issues
HTTP support for ROM
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No commit activity in last 3 years
No release in over 3 years
Atmos provides a terraform scaffold for creating cloud system architectures
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Low commit activity in last 3 years
No release in over a year
Post URLs to Wayback Machine (Internet Archive), using a crawler, from Sitemap(s) or a list of URLs.
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0.01
Low commit activity in last 3 years
There's a lot of open issues
A long-lived project that still receives updates
A library for publshing messages to RabbitMQ
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No release in over 3 years
Arachni is a feature-full, modular, high-performance Ruby framework aimed towards helping penetration testers and administrators evaluate the security of web applications. It is smart, it trains itself by monitoring and learning from the web application's behavior during the scan process and is able to perform meta-analysis using a number of factors in order to correctly assess the trustworthiness of results and intelligently identify (or avoid) false-positives. Unlike other scanners, it takes into account the dynamic nature of web applications, can detect changes caused while travelling through the paths of a web application’s cyclomatic complexity and is able to adjust itself accordingly. This way, attack/input vectors that would otherwise be undetectable by non-humans can be handled seamlessly. Moreover, due to its integrated browser environment, it can also audit and inspect client-side code, as well as support highly complicated web applications which make heavy use of technologies such as JavaScript, HTML5, DOM manipulation and AJAX. Finally, it is versatile enough to cover a great deal of use cases, ranging from a simple command line scanner utility, to a global high performance grid of scanners, to a Ruby library allowing for scripted audits, to a multi-user multi-scan web collaboration platform.
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 Popularity