Search Results for "c metrics"
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Showing 133 open source projects for "c metrics"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Code Quality and Security for C#
Code analyzer for C# and VB.NET projects
Sonar offers a single cohesive solution with a consistent set of metrics and hundreds of static analysis rules to detect your coding issues early. Plus fast and high-precision analysis means high value, low noise, and reliable results always. A single solution for dozens of popular languages, development frameworks and IaC platforms. Our powerful language-specific analysis not only detects coding issues but also helps you understand what's wrong and how to fix it. Our publicly available... -
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Intel PCM
Intel® Performance Counter Monitor (Intel® PCM)
Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems. -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,... -
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userver
Production-ready C++ Asynchronous Framework with rich functionality
userver is a modern C++ framework for building asynchronous, high-performance microservices. Developed by Yandex, it provides a robust architecture for writing non-blocking network applications, with built-in support for gRPC, HTTP, database clients, metrics, and more. userver is designed for production-scale backend systems that require low latency and high reliability. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Kepler
Kepler (Kubernetes-based Efficient Power Level Exporter)
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics. -
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Emerge
Browser-based interactive codebase and dependency visualization tool
Emerge (or emerge-viz) is an interactive code analysis tool to gather insights about source code structure, metrics, dependencies, and complexity of software projects. You can scan the source code of a project, calculate metric results and statistics, generate an interactive web app with graph structures (e.g. a dependency graph or a filesystem graph), and export the results in some file formats. Emerge currently has parsing support for the following languages: C, C++, Groovy, Java, JavaScript, TypeScript, Kotlin, ObjC, Ruby, Swift, Python, and Go. ... -
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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Alibaba iLogtail
Fast and Lightweight Observability Data Collector
iLogtail was born for observable scenarios and has many production-level features such as lightweight, high performance, and automated configuration, which are widely used internally by Alibaba Group and tens of thousands of external Alibaba Cloud customers. You can deploy it in physical machines, Kubernetes and other environments to collect telemetry data, such as logs, traces and metrics. Supports a variety of Logs, Traces, and Metrics data collection, and is friendly to container and... -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Rainmeter
Desktop customization tool for Windows
Rainmeter is a powerful and extensible desktop customization platform for Windows that lets users display customizable skins and widgets on their desktop to show information such as system statistics, time, weather, application shortcuts, and more. With a modular architecture, Rainmeter allows users and creators to build or install “skins” using simple INI configuration files combined with Lua scripting and graphics to display text, images, meters, and interactive controls. It runs with... -
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AWS IoT Device Defender Library
Client library for using AWS IoT Defender service on embedded devices
The Device Defender library enables you to send device metrics to the AWS IoT Device Defender Service. This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client library. ... -
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LibreHardwareMonitor
Monitor temperature sensors, fan speed, voltage, load & clock speeds
Libre Hardware Monitor is a free, open-source system monitoring tool that provides detailed insights into your computer’s hardware health and performance. It tracks real-time metrics such as temperatures, fan speeds, voltages, clock speeds, and load across a wide range of components. The project includes both a Windows Forms application for visual monitoring and a reusable library for developers who want to integrate hardware monitoring into their own software. LibreHardwareMonitor supports... -
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SPX
A simple & straight-to-the-point PHP profiling extension
...Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported). Using a dedicated browser extension or command line launcher. Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). Able to collect data without losing context. For example Xhprof (and potentially its forks) aggregates data per caller / callee pairs, which implies the loss of the full call stack and forbids timeline or Flamegraph based analysis. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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LightGBM
Gradient boosting framework based on decision tree algorithms
LightGBM or Light Gradient Boosting Machine is a high-performance, open source gradient boosting framework based on decision tree algorithms. Compared to other boosting frameworks, LightGBM offers several advantages in terms of speed, efficiency and accuracy. Parallel experiments have shown that LightGBM can attain linear speed-up through multiple machines for training in specific settings, all while consuming less memory. LightGBM supports parallel and GPU learning, and can handle... -
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pgvector
Open-source vector similarity search for Postgres
pgvector is an open-source PostgreSQL extension that equips PostgreSQL databases with vector data storage, indexing, and similarity search capabilities—ideal for embeddings-based applications like semantic search and recommendations. You can add an index to use approximate nearest neighbor search, which trades some recall for speed. Unlike typical indexes, you will see different results for queries after adding an approximate index. An HNSW index creates a multilayer graph. It has better... -
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PgAgroal
High-performance connection pool for PostgreSQL
pgagroal is a high-performance PostgreSQL connection pooler written in C, designed for minimal latency and efficient resource usage. It provides features like secure authentication, hot reloading, and support for multiple databases, making it suitable for low-latency applications and microservice architectures. pgagroal is optimized for fast startup, low overhead, and easy integration. -
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Betaflight
Open Source Flight Controller Firmware
Betaflight is flight controller software (firmware) used to fly multi-rotor craft and fixed wing craft. This fork differs from Baseflight and Cleanflight in that it focuses on flight performance, leading-edge feature additions, and wide target support. Betaflight supports a wide range of flight controllers with at least an STM32F4 MCU. You can use nearly any piece of modern hardware out there. Full telemetry and high refresh rate for receivers, camera and VTX control, RGB LEDs, and much... -
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HammerDB
HammerDB Database Load Testing and Benchmarking Tool
HammerDB is a leading benchmarking and load testing tool for relational databases like PostgreSQL, Oracle, SQL Server, and MySQL. It implements industry-standard workloads such as TPC-C and TPC-H to simulate real-world transactional and analytical database performance. HammerDB is widely used by DBAs and performance engineers to evaluate hardware, configurations, and scaling. -
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endlessh-go
A golang implementation of endlessh exporting Prometheus metrics
Endlessh is a great idea that not only blocks the brute force SSH attacks, but also wastes attackers time as a kind of counter-attack. Besides trapping the attackers, I also want to visualize the Geolocations and other statistics of the sources of attacks. Unfortunately the wonderful original C implementation of endlessh only provides text based log, but I do not like the solution that writes extra scripts to parse the log outputs, then exports the results to a dashboard, because it would introduce extra layers in my current setup and it would depend on the format of the text log file rather than some structured data. Thus I create this golang implementation of endlessh to export Prometheus metrics and a Grafana dashboard to visualize them. -
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OpenHardwareMonitor
Free open source tool for real-time PC hardware sensor monitoring
Open Hardware Monitor is a free and open source hardware monitoring application designed primarily for personal computers. It provides real-time insights into key system metrics such as temperatures, fan speeds, voltages, load percentages, and clock speeds by reading directly from sensors embedded in CPUs, GPUs, motherboards, and storage devices. The tool supports a wide range of sensor hardware found on modern systems, including Intel and AMD processors, NVIDIA and AMD graphics cards, SMART... -
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GoAccess
GoAccess is a real-time web log analyzer and interactive viewer
GoAccess is an open-source, real-time log analyzer and interactive viewer for web server logs. It runs in terminals on UNIX-like systems and can generate standalone HTML, JSON, or CSV reports for browser-based analysis. GoAccess offers enhanced WebSocket authentication, supporting local and external JWT verification, with secure token refresh capabilities and seamless integration with external authentication systems. GoAccess allows any custom log format string. Predefined options include,... -
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NVIDIA GPU Exporter
Nvidia GPU exporter for prometheus using nvidia-smi binary
Nvidia GPU exporter for prometheus, using nvidia-smi binary to gather metrics. There are many Nvidia GPU exporters out there however they have problems such as not being maintained, not providing pre-built binaries, having a dependency to Linux and/or Docker, targeting enterprise setups (DCGM) and so on. -
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Performance Co-Pilot (PCP)
Performance Co-Pilot
Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data. PCP is a feature-rich, mature, extensible, cross-platform toolkit supporting both live and retrospective analysis. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of... -
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cuML
RAPIDS Machine Learning Library
cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU...
