Hyperfine is a command-line benchmarking tool used to measure the execution time of shell commands through multiple runs and statistical analysis. It functions as a comparative benchmarking utility and a shell performance analyzer, allowing for the evaluation of multiple commands against a reference baseline to determine relative speed.
sharkdp/hyperfine की मुख्य विशेषताएं हैं: Command Line Benchmarking, Command Parameter Scanning, Command Line Tools, Execution Profiling, Shell Overhead Correction, Shell Performance Analysis, Shell-Bypass Execution, Comparative Benchmarking Utilities।
sharkdp/hyperfine के ओपन-सोर्स विकल्पों में शामिल हैं: google/benchmark — This project is a performance measurement framework and microbenchmarking library designed for C++ and Python. It… bheisler/criterion.rs — Criterion is a statistics-driven microbenchmarking library and performance regression tool for Rust. It provides a… dotnet/benchmarkdotnet — BenchmarkDotNet is a library and tool suite for measuring the execution time and memory allocation of .NET code. It… orf/gping — gping is a terminal-based network latency grapher and performance monitor. It functions as a cross-platform ping… nicolargo/glances — Glances is a cross-platform system monitoring tool designed to track real-time resource usage and hardware health… koute/bytehound — Bytehound is a Linux memory profiler that utilizes a custom global allocator to intercept memory requests and track…
This project is a performance measurement framework and microbenchmarking library designed for C++ and Python. It provides a toolset for measuring the execution time of small code fragments using high-resolution timers, calculating statistical aggregates, and analyzing asymptotic complexity. The framework distinguishes itself through specialized capabilities for multithreaded performance testing, using synchronized execution to measure parallel throughput. It includes mechanisms to prevent compiler optimizations from removing benchmarked code and supports complex parameterization via Cartesia
Criterion is a statistics-driven microbenchmarking library and performance regression tool for Rust. It provides a framework for isolating and measuring small code segments, using statistical analysis to eliminate noise and ensure reliable, repeatable measurements of execution speed. The tool distinguishes itself through a performance visualization suite that generates HTML reports and graphs to track performance trends and throughput. It includes a system for comparing current execution times against stored baselines to identify and prevent performance drops. The library covers asynchronous
BenchmarkDotNet is a library and tool suite for measuring the execution time and memory allocation of .NET code. It utilizes statistical sampling and warm-up iterations to determine the stability and precise execution speed of specific methods. The project provides a JIT disassembly viewer to inspect processor disassembly and analyze how the compiler executes code paths. It includes a memory allocation profiler that tracks managed and native memory traffic to identify efficiency bottlenecks. Additionally, a runtime performance comparator allows the same benchmarks to be executed across differ
gping is a terminal-based network latency grapher and performance monitor. It functions as a cross-platform ping client that visualizes ICMP response times as real-time line graphs directly within the command line. The tool distinguishes itself by operating as a command execution time plotter, allowing the duration of any shell command to be graphed over time to analyze performance fluctuations. It supports multi-host latency plotting and provides shorthand identifiers for monitoring connectivity across different cloud infrastructure regions. The utility covers network diagnostics and observ