Awesome GitHub RepositoriesBaseline-Comparison Profiling

Coroot is an observability platform and Kubernetes performance monitor that utilizes eBPF to automatically collect metrics, logs, and traces without requiring manual code instrumentation. It functions as an OpenTelemetry trace analyzer and an LLM observability gateway, exposing system health data to large language models through the Model Context Protocol. The platform differentiates itself by combining automated root cause analysis and AI-driven diagnostics to investigate performance regressions. It also includes a cloud cost monitoring tool that attributes infrastructure spending to specifi

This project is a comprehensive technical guide and diagnostic manual for analyzing memory, performance, and asynchronous behavior within Node.js applications. It provides detailed methods for asynchronous tracing, memory diagnostics, and performance analysis to resolve runtime errors and execution bottlenecks. The resource distinguishes itself by covering advanced diagnostic workflows, including the use of flame graphs for CPU profiling, the capture and comparison of heap snapshots for memory leak detection, and the mapping of asynchronous call stacks. It also provides technical guidance on

WAFW00F allows one to identify and fingerprint Web Application Firewall (WAF) products protecting a website.

Criterion este o bibliotecă de microbenchmarking bazată pe statistici și un instrument de regresie a performanței pentru Rust. Oferă un framework pentru izolarea și măsurarea segmentelor mici de cod, utilizând analiza statistică pentru a elimina zgomotul și a asigura măsurători fiabile și repetabile ale vitezei de execuție. Instrumentul se distinge printr-o suită de vizualizare a performanței care generează rapoarte HTML și grafice pentru a urmări tendințele de performanță și throughput-ul. Include un sistem pentru compararea timpilor de execuție actuali cu bazele de referință stocate pentru a identifica și preveni scăderile de performanță. Biblioteca acoperă măsurarea funcțiilor asincrone, benchmarking-ul parametrizat pentru scalarea input-ului și calculul throughput-ului codului. De asemenea, suportă integrarea metricilor hardware personalizate și a contoarelor de procesor pentru a captura date de nivel scăzut în timpul rulărilor. Automatizarea este susținută printr-o interfață CLI pentru filtrarea benchmark-urilor și un mod de validare pentru verificarea execuției reușite în pipeline-urile CI.

This project is an algorithmic performance benchmarking tool and execution cycle simulator. It functions as a complexity analysis framework that measures code execution speed using simulated clock cycles to evaluate algorithmic efficiency against established performance baselines. The tool provides deterministic measurements of computational work and time complexity by tracking virtual clock cycles rather than real time. It utilizes a threshold-driven test suite to validate whether specific code implementations meet required performance cycle targets. The framework covers execution speed pro

gprof2dot is a performance graph generator and visualizer that converts gprof GNU profiler execution profiles into Graphviz DOT files. It transforms raw profiler data into a directed graph to map function call hierarchies and identify software bottlenecks. The tool employs heuristic-based color mapping to highlight performance hotspots by assigning colors to nodes and edges based on execution time percentages. It also supports differential profile analysis, allowing for the comparison of two distinct execution graphs to identify changes in timing and call counts between runs. To improve visu