Developer-first error tracking and performance monitoring
- crash-reporting
- crash-reports
- error-monitoring
- monitoring
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Developer-first error tracking and performance monitoring
Automated auditing, performance metrics, and best practices for the web.
APM, Application Performance Monitoring System
A high-performance observability data pipeline.
Analyzes resource usage and performance characteristics of running containers.
APM, (Application Performance Management) tool for large-scale distributed systems.
Speedtest Tracker is a self-hosted application that monitors the performance and uptime of your internet connection.
Web performance library for measuring all performance vitals metrics
Ultra-low-latency asynchronous C++17 logging and metrics library for performance-critical applications
JavaMelody : monitoring of JavaEE applications
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.
.NET library to instrument your code with Prometheus metrics
Common financial risk and performance metrics. Used by zipline and pyfolio.
Profiling / Debugging assist tools for iOS. (Memory Leak, OOM, ANR, Hard Stalling, Network, OpenGL, Time Profile ...)
Progressive web metrics at your fingertipz
📈 Open source, privacy-first web analytics — a cookie-less Google Analytics alternative with built-in error tracking and performance monitoring. Self-host it or use our cloud. Get started for free!
fmtlog is a performant fmtlib-style logging library with latency in nanoseconds.
The official Airbrake library for Ruby applications
API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
:rocket: Modern cross-platform HTTP load-testing tool written in Go
Sentry SDK for .NET
eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!