Simple Error handling library.
ErrPulse Node.js backend SDK — catch every backend error automatically
VybeSec Node.js SDK for backend error monitoring.
CLI to scaffold a production-ready Express.js backend instantly
This package helps to transform resources to an i18next backend
HTML5 backend for React DnD
i18next-http-backend is a backend layer for i18next using in Node.js, in the browser and for Deno.
i18next-fs-backend is a backend layer for i18next using in Node.js and for Deno to load translations from the filesystem.
Use react-devtools outside of the browser
Amazon Cognito Identity Provider JavaScript SDK
Clerk Backend SDK - REST Client for Backend API & JWT verification utilities
Vanilla JavaScript backend for TensorFlow.js
Common utilities for error handling within Backstage
The Firebase Authenticaton component of the Firebase JS SDK.
GPU accelerated WebGL backend for TensorFlow.js
backend layer for i18next to chain backends
Core API used by Backstage backend plugins
A mock backend for testing React DnD apps
Embed react-devtools within a website
Core API used by Backstage backend apps
Multi Backend system compatible with React DnD
Backend defaults used by Backstage backend apps
Multi Backend system compatible with DnD Core / React DnD
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Provides a backend endpoint for your frontend JavaScript application to send errors to when they’re caught. This makes it easier to integrate your frontend stack traces to your backend analytics.
Ohnoes is a gem to report frontend errors using your existing backend error reporting.
Lapsoss provides a clean, adapter-based approach to error reporting that doesn't monkey patch your application. Send errors to any error tracking service or custom backend through a unified API.
While building out a backend server I realized a needed a simple way to generate error responses in the JsonAPI format. So I made this library and decided to publish it as a gem. (It's my first!)
Ruby and Rails client for reporting errors, logs, metrics, transactions, spans, and check-ins to the Logister backend, including self-hosted installs.
Rocketgraph Ruby intercepts HTTP errors (e.g., 404, 500) in Rack-based applications and sends detailed reports to a specified backend service.
LHS ia a Rails-Gem, providing an ActiveRecord like interface to access HTTP-JSON-Services from Rails Applications. Special features provided by this gem are: Multiple endpoint configuration per resource, active-record-like query-chains, scopes, error handling, relations, request cycle cache, batch processing, including linked resources (hypermedia), data maps (data accessing), nested-resource handling, ActiveModel like backend validation conversion, formbuilder-compatible, three types of pagination support, service configuration per resource, kaminari-support and much more.
TypedCache is a Ruby caching library designed to eliminate common caching pitfalls by providing a monadic, type-safe API that makes cache operations explicit and predictable. Cache interactions are first-class operations with comprehensive error handling and transparent state management. The library supports wrapping other caching libraries via custom backends and ActiveSupport::Cache is supported out of the box.
DHS ia a Rails-Gem, providing an ActiveRecord like interface to access HTTP-JSON-Services from Rails Applications. Special features provided by this gem are: Multiple endpoint configuration per resource, active-record-like query-chains, scopes, error handling, relations, request cycle cache, batch processing, including linked resources (hypermedia), data maps (data accessing), nested-resource handling, ActiveModel like backend validation conversion, formbuilder-compatible, three types of pagination support, service configuration per resource, kaminari-support and much more.
GQLite is a Rust-language library, with a C interface, that implements a small, fast, self-contained, high-reliability, full-featured, Graph Query database engine. GQLite support multiple database backends, such as SQLite and redb. This enable to achieve high performance and for application to combine Graph queries with traditional SQL queries. GQLite source code is license under the [MIT License](LICENSE) and is free to everyone to use for any purpose. The official repositories contains bindings/APIs for C, C++, Python, Ruby and Crystal. The library is still in its early stage, but it is now fully functional. Development effort has now slowed down and new features are added on a by-need basis. It supports a subset of OpenCypher, with some ISO GQL extensions. Example of use -------------- ```ruby require 'gqlite' begin # Create a database on the file "test.db" connection = GQLite::Connection.new filename: "test.db" # Execute a simple query to create a node and return all the nodes value = connection.execute_oc_query("CREATE () MATCH (n) RETURN n") # Print the result if value.nil? puts "Empty results" else puts "Results are #{value.to_s}" end rescue GQLite::Error => ex # Report any error puts "An error has occured: #{ex.message}" end ``` The documentation for the GQL query language can found in [OpenCypher](https://auksys.org/documentation/5/libraries/gqlite/opencypher/) and for the [API](https://auksys.org/documentation/5/libraries/gqlite/api/).
E11y (Easy Telemetry) - Observability for Rails developers who hate noise. UNIQUE FEATURES: • Request-scoped debug buffering - buffers debug logs in memory, flushes ONLY on errors • Zero-config SLO tracking - automatic Service Level Objectives for HTTP endpoints and jobs • Schema-validated events - catch bugs before production with dry-schema DEVELOPER EXPERIENCE: • Minimal setup — one config block, works with stdout out of the box • Auto-metrics from events (no manual Yabeda.increment) • Rails-first design (follows Rails conventions) • Pluggable adapters (Loki, Sentry, OpenTelemetry, custom backends) COST SAVINGS: • Reduce log storage costs by 90% (request-scoped buffering) • Replace expensive APM SaaS ($500-5k/month → infra costs only) • Own your observability data (no vendor lock-in) PRODUCTION-READY: • Thread-safe for multi-threaded Rails + Sidekiq • Adaptive sampling (error-based, load-based, value-based) • PII filtering (GDPR-compliant masking/hashing) • Performance optimized (hash-based events, minimal allocations) Perfect for Rails 7.0+ teams who need observability without complexity or high costs.
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