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Java Metrics Libraries

排名更新于 2026年7月13日

For a java library for application metrics, the strongest matches are micrometer-metrics/micrometer (Micrometer is the industry-standard Java metrics facade that provides), prometheus/client_java (This is the official Java client library for Prometheus) and dropwizard/metrics (This library provides a robust toolkit for instrumenting Java). Each is ranked by relevance to your query, popularity and recent activity.

我们为您精选了匹配 “best java metrics libraries” 的开源 GitHub 仓库。结果按与您查询的相关性进行排名 — 您可以使用下方筛选器缩小范围,或通过 AI 进行优化。

Java Metrics Libraries

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • micrometer-metrics/micrometermicrometer-metrics 的头像

    micrometer-metrics/micrometer

    4,850在 GitHub 上查看↗

    Micrometer is a dimensional metrics library and application metrics facade that provides a vendor-neutral interface for recording performance data. It decouples application instrumentation from specific observability backends, allowing the recording of counters, gauges, and timers using key-value tags for granular analysis. The project features a system of backend adapters that transform and route instrumented data to various external monitoring tools. This includes name normalization to ensure portability across different monitoring systems and the ability to map dimensional data to hierarch

    Micrometer is the industry-standard Java metrics facade that provides low-overhead instrumentation, built-in JVM monitoring, and native support for exporting to Prometheus and various other time-series backends.

    JavaJVM Metrics Collectors
    在 GitHub 上查看↗4,850
  • prometheus/client_javaprometheus 的头像

    prometheus/client_java

    2,277在 GitHub 上查看↗

    This library provides a framework for instrumenting Java applications to track performance and system-level statistics. It enables the definition and collection of metrics such as counters, gauges, and histograms, while automatically capturing runtime health indicators like memory usage, thread activity, and garbage collection performance. The project distinguishes itself through a registry-based aggregation model that decouples metric recording from data exposition. It supports thread-safe atomic instrumentation for high-frequency data collection and offers flexible export mechanisms, includ

    This is the official Java client library for Prometheus, providing the core instrumentation, JVM monitoring, and custom metric types required to collect and export performance data for time-series analysis.

    JavaDistributed TracingPrometheus Client Libraries
    在 GitHub 上查看↗2,277
  • dropwizard/metricsdropwizard 的头像

    dropwizard/metrics

    7,845在 GitHub 上查看↗

    This project is an application performance monitoring tool and JVM metrics library designed to measure workload behavior and export performance data to external monitoring databases. It serves as an instrumentation toolkit for tracking resource usage and internal runtime behavior within a Java execution environment. The system focuses on application performance measurement and JVM application monitoring, specifically tracking system health and runtime resource analysis to identify bottlenecks and stability issues. It provides a mechanism for external metrics export, sending captured data to t

    This library provides a robust toolkit for instrumenting Java applications to track JVM performance and custom metrics, serving as a foundational component for exporting data to monitoring systems.

    JavaApplication Performance MonitoringGlobal Metric RegistriesJVM Application Monitoring
    在 GitHub 上查看↗7,845

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