A process for collecting metrics using JMX MBeans for Prometheus consumption
- jmx
- prometheus
- mbean
- java-agent
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A process for collecting metrics using JMX MBeans for Prometheus consumption
Web performance library for measuring all performance vitals metrics
Ultra-low-latency asynchronous C++17 logging and metrics library for performance-critical applications
LinDB is a scalable, high performance, high availability distributed time series database.
JavaMelody : monitoring of JavaEE applications
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Lightweight analytics abstraction layer for tracking page views, custom events, & identifying visitors
Beautiful and understandable static analysis tool for PHP
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Exporter for MySQL server metrics
PHPMD is a spin-off project of PHP Depend and aims to be a PHP equivalent of the well known Java tool PMD. PHPMD can be seen as an user friendly frontend application for the raw metrics stream measured by PHP Depend.
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
Prometheus instrumentation library for JVM applications
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Headless Chromium-based web performance metrics collector and monitoring tool
App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.
SNMP Exporter for Prometheus
Pluggable foundation blocks for building distributed apps.
.NET library to instrument your code with Prometheus metrics
Open Source HTTP Reverse Proxy Cache and TSDB Query Accelerator
Automatic font fallback based on font metrics
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"