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stbychkov avatar

stbychkov/AutoLoggerMessage

0
View on GitHub↗
119 stars·6 forks·C#·MIT·12 views

AutoLoggerMessage

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

Features

  • Logging and Monitoring - Source generator for high-performance logging calls.

Star history

Star history chart for stbychkov/autologgermessageStar history chart for stbychkov/autologgermessage

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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Projects sharing features with AutoLoggerMessage

These projects share indexed features with AutoLoggerMessage. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • 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
  • zenml-io/zenmlzenml-io avatar

    zenml-io/zenml

    5,451View on GitHub↗

    ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

    Pythonagentopsagentsai
    View on GitHub↗5,451
  • abc-arbitrage/zerologAbc-Arbitrage avatar

    Abc-Arbitrage/ZeroLog

    437View on GitHub↗

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

    C#c-sharploggerno-allocation
    View on GitHub↗437
  • carina-studio/ulogviewercarina-studio avatar

    carina-studio/ULogViewer

    579View on GitHub↗

    Cross-Platform Universal Log Viewer.

    C#android-developmentcross-platformcsharp
    View on GitHub↗579
Compare all 17 related projects→

Frequently asked questions

What does stbychkov/autologgermessage do?

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

What are the main features of stbychkov/autologgermessage?

The main features of stbychkov/autologgermessage are: Logging and Monitoring.

Which projects share features with stbychkov/autologgermessage?

Projects with overlapping indexed features include: uptrace/uptrace — Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces,… zenml-io/zenml — ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning… foundatiofx/foundatio — Pluggable foundation blocks for building distributed apps. exceptionless/exceptionless.net — Exceptionless clients for the .NET platform. abc-arbitrage/zerolog — A high-performance, zero-allocation .NET logging library. carina-studio/ulogviewer — Cross-Platform Universal Log Viewer.