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exceptionless avatar

exceptionless/Exceptionless.Net

0
View on GitHub↗
572 stars·144 forks·C#·15 viewsexceptionless.com↗

Exceptionless.Net

Exceptionless clients for the .NET platform

Features

  • Exception Handling - Client library for centralized error and log reporting.
  • Logging - Client for centralized error and log management.
  • Logging and Monitoring - Client library for centralized error and log reporting.
  • Miscellaneous Utilities - Client library for exception reporting.

Star history

Star history chart for exceptionless/exceptionless.netStar history chart for exceptionless/exceptionless.net

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does exceptionless/exceptionless.net do?

Exceptionless clients for the .NET platform

What are the main features of exceptionless/exceptionless.net?

The main features of exceptionless/exceptionless.net are: Exception Handling, Logging, Logging and Monitoring, Miscellaneous Utilities.

Which projects share features with exceptionless/exceptionless.net?

Projects with overlapping indexed features include: serilog/serilog — Serilog is a structured logging library for .NET applications that records events as rich data objects instead of… nlog/nlog — NLog is an open-source logging framework for .NET that functions as a structured logging library and log routing… getsentry/sentry-dotnet — Sentry SDK for .NET. uptrace/uptrace — Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces,… google/guava — Guava is a Java standard library extension and utility toolkit that provides optimized data structures, concurrency… zenml-io/zenml — ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning…

Projects sharing features with Exceptionless.Net

These projects share indexed features with Exceptionless.Net. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • serilog/serilogserilog avatar

    serilog/serilog

    7,991View on GitHub↗

    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

    C#serilog
    View on GitHub↗7,991
  • nlog/nlogNLog avatar

    NLog/NLog

    6,542View on GitHub↗

    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

    C#aotaot-compatiblec-sharp
    View on GitHub↗6,542
  • getsentry/sentry-dotnetgetsentry avatar

    getsentry/sentry-dotnet

    758View on GitHub↗

    Sentry SDK for .NET

    C#crash-reportingdotnethacktoberfest
    View on GitHub↗758
  • uptrace/uptraceuptrace avatar

    uptrace/uptrace

    4,098View on GitHub↗

    Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

    Goapmapplication-monitoringclickhouse
    View on GitHub↗4,098
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