16 مستودعات
Structures for aggregating response time data points to calculate performance percentiles.
Distinct from Latency Optimization: Distinct from Latency Optimization: focuses on the data aggregation and percentile calculation mechanism rather than the optimization techniques themselves.
Explore 16 awesome GitHub repositories matching software engineering & architecture · Latency Histograms. Refine with filters or upvote what's useful.
This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t
The project calculates the area of the largest square containing only ones in a binary matrix.
Hey is a command-line utility designed for HTTP load testing and API performance benchmarking. It functions as a concurrent request generator that simulates high volumes of traffic against target endpoints to evaluate service responsiveness, throughput, and stability under load. The tool distinguishes itself by integrating specialized modules for cryptographic request signing and internal service authorization. It supports the generation of digital signatures for decentralized social protocols and validates backend requests using shared secret tokens, allowing for secure interaction with prot
Aggregates response time data into statistical buckets to calculate precise performance percentiles.
This project is a command-line utility designed for HTTP load testing and network stress testing. It functions as a benchmarking tool that generates high volumes of concurrent traffic to evaluate the performance, reliability, and throughput capacity of web applications and APIs under sustained load. The tool allows for precise control over traffic generation by enabling users to configure request parameters, including custom headers, authentication credentials, and specific HTTP methods. It manages load through a worker-pool system that regulates request frequency, allowing for both time-boun
Aggregates response time data to calculate performance percentiles and latency distributions.
StatsD is a metrics aggregator and UDP collection server that collects system counters and timers. It functions as a time-series data forwarder, receiving high-frequency metric updates via a lightweight line protocol and summarizing them before flushing the data to a backend. The project features a pluggable metrics backend framework, allowing aggregated statistics to be routed to various third-party monitoring services or time-series databases such as Graphite. It supports horizontal scaling and high availability through a proxy ring distribution system that forwards incoming packets across
Uses histogram-based aggregation to calculate medians and percentiles for analyzing system response times.
Telegraf is a modular, cross-platform telemetry pipeline designed to collect, process, and route metrics from diverse infrastructure, applications, and hardware. It functions as a server-side middleware that normalizes heterogeneous data into a unified format, enabling consistent monitoring across complex environments. By utilizing a plugin-driven architecture, the agent manages the entire lifecycle of telemetry data from initial ingestion to final transmission. The project distinguishes itself through a declarative, configuration-driven execution model that allows users to define complex dat
Groups field values into defined ranges to create frequency distributions for analyzing data spread.
VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct
Transforms incoming high-resolution histogram data into standard metric formats automatically during ingestion.
This project is a comprehensive library of reference implementations for fundamental data structures and algorithms, designed to support technical interview preparation and software engineering assessments. It provides a structured collection of computational techniques for solving complex problems involving arrays, strings, graphs, trees, and mathematical analysis. The library distinguishes itself by offering specialized implementations for advanced topics, including concurrent programming patterns and geometric algorithms. It features thread-safe primitives for managing shared state and tas
Determines the largest rectangular area possible within a histogram by analyzing bar heights and widths.
oha هو أداة سطر أوامر لاختبار تحميل HTTP وقياس الأداء. يعمل كأداة لتحليل زمن الوصول ومراقب للأداء، حيث يرسل أحجاماً كبيرة من الطلبات إلى خوادم الويب لقياس الاستقرار وتحديد اختناقات الأداء. تتميز الأداة بواجهة مستخدم طرفية تعرض إحصائيات زمن الوصول في الوقت الفعلي ورسوم متحركة للطلبات أثناء الاختبارات النشطة. وتتضمن آلية للتصحيح من الإغفال المنسق، مما يضمن الإبلاغ عن مئويات وقت الاستجابة وتوزيعات زمن الوصول بدقة. تغطي قدراتها توليد تحميل HTTP، ومحاكاة حركة المرور عبر عناوين URL مستهدفة عشوائية، والتحكم في معدل الطلب. يدعم المشروع التواصل الآمن عبر TLS وTLS المتبادل، ويوفر خيارات تصدير البيانات لمقاييس الأداء بتنسيقات JSON وCSV وSQLite. يمكن تنفيذ الأداة داخل بيئات بالحاويات للحفاظ على الاتساق عبر أنظمة مضيفة مختلفة.
Generates detailed response time histograms and performance data to calculate accurate latency percentiles.
LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro
Calculates the maximum rectangular area under a histogram by maintaining a stack of increasing bar heights.
GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br
Equalizes image histograms to improve contrast and analyze pixel intensity distribution.
scikit-image is a Python image processing library and scientific image analysis toolkit. It provides a framework for digital image processing and computer vision, utilizing numerical arrays for pixel-level manipulations. The library enables the quantification of image properties and the detection of visual features, such as edges and blobs. It includes tools for image segmentation and the extraction of textures and patterns to characterize objects within visual data. Capabilities cover image manipulation through color space conversion, geometric transformations, and digital restoration. It a
Provides histogram equalization and redistributive intensity transforms to optimize image contrast and exposure.
Prometheus client_golang is the official Go client library for instrumenting applications with Prometheus metrics. It provides a metric registry that manages and exposes custom application metrics like counters, gauges, histograms, and summaries in Prometheus format for HTTP scraping by a Prometheus server. The library also includes a remote read client that sends PromQL queries to a Prometheus server over HTTP and retrieves time series data programmatically. The library supports creating separate registries to isolate metric namespaces and control which metrics are exposed per scrape endpoin
Pre-allocates histogram buckets at registration time with atomic counter increments for efficient latency recording.
btrace هي أداة تتبع ديناميكية ومحلل أداء لـ JVM تُستخدم لحقن نصوص برمجية آمنة للقياس في جهاز Java الافتراضي قيد التشغيل دون الحاجة إلى إعادة تشغيل العملية. تعمل كإطار عمل لوكيل Java وخادم بروتوكول سياق النموذج (Model Context Protocol)، مما يعرض عمليات تشخيص JVM وأدوات التتبع لنماذج اللغات الكبيرة ومساعدي الذكاء الاصطناعي. يتميز المشروع بتمكين حقن الكود في الوقت الفعلي والقياس على مستوى البايت كود عبر بروتوكول ثنائي آمن. ويضمن استقرار الإنتاج من خلال محرك تحليل أمان ثابت يحظر أنماط الكود غير المستقرة، مثل الحلقات والتخصيصات، أثناء مرحلة تجميع النص البرمجي. يغطي النظام مجموعة واسعة من قدرات المراقبة، بما في ذلك تتبع تنفيذ الأساليب، وتتبع تخصيص الكائنات، ومراقبة الوصول إلى الحقول. كما يوفر تحليل الأداء عبر مقاييس التأخير وأخذ عينات بيانات التنفيذ، ويمكنه إصدار أحداث Java Flight Recorder مخصصة للتحليل الأصلي. يدعم الوكيل استراتيجيات نشر مرنة، بما في ذلك التمهيد عند بدء التشغيل أو الإرفاق بالعمليات الحية في البيئات الحاوية باستخدام حزم JAR الكبيرة.
Records duration distributions and statistics using histograms to track method execution timing.
Aggregates color statistics from multiple images into a single histogram for consistent palette output.
wrk2 is a high-performance HTTP benchmarking tool and constant throughput load generator. It is designed to measure server stability and throughput by sending a fixed number of requests per second, functioning as a high-resolution latency profiler and a Lua-scriptable performance tester. The tool distinguishes itself through a scriptable interface that uses a high-performance just-in-time compiler to define complex request formats and custom response reporting logic. It employs high-resolution histograms to capture precise response time distributions and high-percentile latency data. The pro
Uses high-resolution histograms to aggregate response time data for precise percentile calculation.
Fortio is a performance testing tool written in Go that generates constant request rates to measure latency histograms and response percentiles. It functions as a network performance benchmarker for analyzing system performance across HTTP and gRPC endpoints, and includes a specialized HTTP echo server for mirroring requests. The project distinguishes itself through a web-based HTTP load testing API used for triggering asynchronous tests and visualizing result data through graphs. It also provides server behavior simulation, allowing the echo server to inject artificial delays and vary respon
Records response times in buckets to calculate accurate percentiles and tail latency distributions.