Collect performance metrics for your library/application.
- performance
- performance-analysis
- performance-metrics
- performance-test
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Collect performance metrics for your library/application.
C implementation of statsd
JVM Profiler Sending Metrics to Kafka, Console Output or Custom Reporter
Fast scalable time series database
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
✨ Open-source DORA metrics platform for engineering teams ✨
Common financial risk and performance metrics. Used by zipline and pyfolio.
Distributed Prometheus time series database
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
GoWrap is a command line tool for generating decorators for Go interfaces
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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!
FlexyPool adds metrics and failover strategies to a given Connection Pool, allowing it to resize on demand.
Performance-Bookmarklet helps to analyze the current page through the Resource Timing API, Navigation Timing API and User-Timing - requests by type, domain, load times, marks and more. Sort of a light live WebPageTest.
Collect and display information and stats from a running PostgreSQL server
A Postgres Metrics Dashboard
Simple, seamless, lightweight time tracking for Git
StatsD to Prometheus metrics exporter
Metrics exporter for Amazon AWS CloudWatch
Minimalist Java framework for rapidly creating scalable, containerless, RESTful microservices. Ship a production-quality, headless, RESTful API in the shortest time possible. Uses Netty for HTTP, Jackson for JSON, Metrics for metrics, properties files for configuration. Sub-projects and plugins enable, NoSQL, Swagger, Auth0, HAL integration, etc.
API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
Web based metrics, monitoring, and observer