Showing 21-40 of 256 projects
An infographics generator to display stats about your GitHub account as SVG, Markdown, PDF or JSON.
An opinionated Go framework for building high-performance microservices with built-in support for databases and observability.
This is a comprehensive learning resource for the Flink stream processing framework, covering concepts, principles, and real-world use cases.
A highly available and scalable Prometheus monitoring setup with long-term storage capabilities.
A Python framework for evaluating and benchmarking large language models (LLMs) and their capabilities.
An exporter for machine metrics, providing host-level system metrics to Prometheus monitoring.
Nightingale is a powerful monitoring and alerting solution for developers, inspired by Grafana's visualization capabilities.
Cross-platform library for monitoring system and process metrics in Python
A beautiful web dashboard for monitoring and visualizing Linux system metrics
Resilience4j is a fault tolerance library designed for Java8 and functional programming.
A JavaScript library for building cloud-powered mobile and web apps using AWS services.
An open-source observability platform for monitoring and troubleshooting production issues across logs, metrics, and traces.
An open-source, full-stack monitoring platform for error tracking, session replay, logging, and distributed tracing.
This repository provides the latest state-of-the-art results for a wide range of machine learning problems.
A curated list of web performance optimization resources for developers
Provides essential metrics for a healthy site, helping developers track website performance and user experience.
An open-source Vulkan and OpenGL overlay for monitoring system performance metrics like FPS, temperatures, and CPU/GPU load.
A foundation model for monocular depth estimation that leverages large-scale unlabeled data.
Simple, privacy-focused website analytics built with Golang & Preact.
A Java library for capturing JVM- and application-level metrics for monitoring and observability.
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