Projects sharing features with Sentry Dotnet

Guava is a Java standard library extension and utility toolkit that provides optimized data structures, concurrency tools, and core extensions. It serves as a comprehensive set of helpers for Java development, focusing on reducing repetitive boilerplate logic. The project is distinguished by its specialized implementations of immutable collections, which ensure thread safety and data consistency by preventing accidental modification. It also includes a dedicated graph data structure library for modeling and traversing networks of interconnected nodes and edges, alongside advanced collection t

Pluggable foundation blocks for building distributed apps.

Windows log viewer for log4j

A high-performance, zero-allocation .NET logging library.

Painless integration of ELMAH into ASP.NET MVC application

Ben.Demystifier is a .NET library that transforms raw stack traces into modern C# 7+ syntax. It reads compiler-generated frames produced by async methods, iterators, lambdas, local functions, and generic types, then rewrites them to match the original source code, making exception call stacks and debug output immediately readable. The library resolves common compiler artifacts such as MoveNext frames back into their original async method or iterator names, shows declaring method names and ordinals for lambdas and local functions instead of generated identifiers, and displays resolved generi

Cross-Platform Universal Log Viewer.

Rollbar for .NET

Serilog is a structured logging library for .NET applications that records events as rich data objects instead of plain text strings. It functions as a multi-sink framework, allowing a single log stream to be emitted to diverse destinations such as files, consoles, and cloud databases through a structured event pipeline. The framework distinguishes itself through dynamic metadata enrichment, using log event enrichers to add contextual properties and telemetry to logs for improved traceability and analysis. It employs a routing system that filters, enriches, and directs these structured events

A source generator that automatically migrates your logging calls to the LoggerMessage version

Exception handling as a convention in the ASP.NET Core request pipeline

Logs and metrics are one! Professional logging, metrics and analytics for your apps.

Error handler used for the Stack Exchange network

NLog is an open-source logging framework for .NET that functions as a structured logging library and log routing engine. It captures log events with named parameters as searchable data rather than plain text and directs these messages to various output destinations based on severity and source. The framework is designed as an extensible platform, supporting custom targets, layout renderers, and filters that can be loaded from external assemblies or defined in code. It features a dynamic configuration system that allows logging targets, rules, and layouts to be updated via XML or programmatic

FastDev4Android is an all-in-one development framework for building Android applications. It accelerates app creation by integrating networking, data parsing, dependency injection, image loading, and UI components into a single workflow, bundling these capabilities to speed up mobile app development. The framework provides annotation-driven dependency injection that automatically wires components, views, event handlers, and threading into Android components at compile time. It implements the Model-View-Presenter (MVP) pattern to separate data, UI, and business logic into distinct layers for i

This project is a collection of reference implementations, sample code, and starter kits for integrating Firebase backend services into web applications using the JavaScript SDK. It serves as a practical guide for bootstrapping projects with cloud-hosted authentication, databases, and serverless logic. The repository provides specific examples for implementing real-time data synchronization, user identity management, and event-driven cloud functions. It also includes reference code for using local service emulators to test cloud functionality on a local machine before production deployment.

Docker-Android runs a full Android emulator inside a Docker container, enabling mobile app testing and automation without requiring a physical device. The emulator uses QEMU-based virtualization with optional KVM acceleration for hardware-backed performance, and supports nested virtualization on cloud VMs from providers like AWS, GCP, and Azure for environments without direct hardware acceleration. The container exposes the Android Debug Bridge over TCP/IP, allowing host-side tools to connect to the emulator as if it were a local device. It provides browser-based interaction with the emulator