Performance Metrics
Showing 36 of 76 projects
A lightweight Java reporter that sends metrics from the Metrics library to an InfluxDB server.
Simple API monitoring and analytics for Python apps, providing metrics, logs, traces, and alerts with minimal code.
A Go tool that collects VMware vSphere, vCenter, and ESXi performance metrics and sends them to InfluxDB for monitoring and visualization.
A lightweight Java library for gathering and exposing host system performance metrics via JMX.
A Zabbix monitoring template for PostgreSQL databases, supporting replication, pgpool-II, and cluster monitoring.
A Zabbix agent module written in C for comprehensive PostgreSQL server monitoring.
A Chrome DevTools extension for profiling web component lifecycle callbacks and Polymer databinding performance.
A Python script for monitoring Oracle Database performance metrics and health checks.
A model-driven framework for monitoring and evaluating web page performance indicators like load time, size, and PageSpeed/YSlow scores.
A web performance metric that measures the render time of the largest contentful element visible in the viewport.
A fast, flexible service for monitoring multiple RDBMS instances (Oracle, PostgreSQL, MySQL, etc.) with Zabbix.
Monitor Microsoft SQL Server on Linux performance using collectd, InfluxDB, and Grafana with Docker-based deployment.
A k6 extension that outputs real-time load test metrics to InfluxDB 2.x databases.
A Symfony2 bundle for production monitoring that catches exceptions, profiles PHP code, and sends metrics to statsd/graphite.
Ruby agent for sending custom application metrics to the Instrumental monitoring platform with high reliability and non-blocking operation.
Collects real-time transit data and processes it into retrospective GTFS packages for analytical comparison with scheduled operations.
A Java agent for Apache Cassandra that provides monitoring, diagnostics, and audit capabilities through bytecode instrumentation.
A lightweight UI toolkit for creative coding projects, enabling rapid prototyping, variable control, and collaboration.
A distributed system stress and load testing tool that simulates traffic and visualizes latencies for microservices.
A ROS 2 C++ library for collecting measurements and calculating moving average statistics across them.
A Julia package for efficient Receiver Operating Characteristic analysis, including ROC/DET plotting, cost function analysis, and performance metrics for probabilistic binary classifiers.
A k6 extension that provides a terminal-based dashboard for real-time visualization of k6 load test metrics.
A terminal-based horizon chart utility for monitoring CPU, GPU, Neural Engine, disk, network, and memory utilization on Apple Silicon, NVIDIA, and AMD systems.
Benchmark web pages, store results in MongoDB, and display them via a built-in server with a pretty UI.
A Java-based agent for collecting application metrics from JMX, HTTP APIs, and SQL sources, shipping to Influx-compatible endpoints.
A k6 extension for exporting load test metrics to Elasticsearch 8.x for analysis and visualization.
A web-based UI for visualizing and analyzing load test results with dashboards, charts, and service monitoring.
A macOS menu bar system monitor with retro CRT terminal aesthetics.
A visualization tool for analyzing bus delays and performance metrics from GTFS-RT real-time transit feeds.
A simple PHP web application that displays system metrics (CPU, memory, network, disk) using Chart.js visualizations.
A Java agent that reports Cassandra metrics to StatsD for monitoring and observability.
Core and community-developed monitoring integrations for the Sematext Agent, enabling data collection from JMX, SQL databases, and REST APIs.
Track runtime, wait time, and memory allocations per Fiber, method, or block in Crystal applications.
A Go SDK for API monitoring and analytics that provides metrics, logs, traces, and alerts with minimal code.
An AI-powered analytics platform that visualizes team contributions by analyzing data from Slack, GitHub, and Notion.
Adobe AIR SDK for integrating devtodev analytics into mobile and desktop applications.
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