Awesome GitHub RepositoriesPerformance Counter Sampling

This project is a specialized toolset for profiling kernel latency, analyzing tracepoint frequency, and monitoring system-wide performance data. It functions as a kernel performance profiler, tracepoint analyzer, and a collection of utilities for the Linux ftrace and perf_events subsystems. The toolkit provides high-level abstractions via shell-scripted wrappers to manage complex kernel tracing interfaces. It distinguishes itself through the use of bucket-based event histograms to visualize the distribution of kernel events and the ability to identify functions exceeding specific latency thre

RunCat365 is a Windows system tray application that places an animated cat directly on the taskbar, where the cat's running speed reflects real-time CPU load. The project's core identity is a lightweight background process that maps CPU usage percentages to animation frame rates, creating a visual indicator of system performance. The application achieves this by polling CPU load data at fixed intervals through Windows Performance Counters, then driving a frame-based sprite animation whose speed responds to the measured load. It renders the cat animation directly into the taskbar notification

jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

OSV 是一个 unikernel 操作系统和云原生执行环境，旨在作为安全微型虚拟机 (microVM) 在 KVM、Firecracker、Xen 和 VMware 等虚拟机管理程序上运行。它是一个与 Linux 二进制兼容的运行时，允许未经修改的 Linux 二进制文件作为安全微型虚拟机执行，而无需重新编译。 该项目通过将应用程序打包成最小化的可启动镜像以及提供虚拟机管理 API 而脱颖而出。此 REST 接口支持远程监控系统健康状况、管理执行跟踪以及控制客户虚拟机状态。 该系统涵盖了广泛的底层功能，包括对称多处理调度、基于通道的网络栈和虚拟设备集成。它包括用于内存泄漏检测、CPU 使用率采样和网络数据包跟踪的全面可观测性工具，以及对各种启动文件系统和持久块存储管理的支持。

The Windows Exporter is a service that collects system, performance, and hardware metrics from Windows servers and exposes them via a text-based HTTP endpoint for Prometheus to scrape. It functions as a system metrics collector and service monitor designed to provide observability across Windows environments. The project utilizes a modular collector design that gathers data through Windows Management Instrumentation, native performance counters, and registry keys. It also includes a text-file metrics importer that allows user-defined or third-party business metrics to be read from local plain