5 مستودعات
Memory-efficient probabilistic structures used to identify the most frequent items within a dataset.
Distinguishing note: Existing candidates focus on shipping logistics, performance trends, or simple item management, not probabilistic frequency estimation.
Explore 5 awesome GitHub repositories matching data & databases · Trending Item Tracking. Refine with filters or upvote what's useful.
RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki
Identifies the most frequent items in a dataset using memory-efficient probabilistic structures.
goproxy.cn is a Go module proxy and checksum database proxy designed to manage the availability and integrity of Go software modules. It provides a regional mirror of modules to ensure reliable dependency downloads for build pipelines and CI/CD optimization. The service utilizes a content delivery network for module mirroring and distribution to reduce latency. It employs a lazy-loading proxy cache that retrieves and stores modules from primary sources on demand to optimize storage. The platform includes software download analytics to track version-specific download counts and usage trends.
Identifies the most active software modules over specific timeframes to monitor popularity.
This project is a public health dataset providing historical and real-time COVID-19 case and death counts across the United States. It consists of a collection of CSV files containing time-series pandemic data organized by date, state, and county. The dataset includes specialized records for institutional outbreaks, tracking infection and death rates within correctional facilities, colleges, and universities. It also provides statistics on excess mortality to estimate total pandemic impact and survey-based data on mask usage prevalence across different counties. To facilitate geographic anal
Tracks the frequency of mask usage across counties using survey data and demographic weighting.
Ristretto is a high-performance in-memory cache and concurrent key-value store for Go applications. It provides a thread-safe memory store that manages strict memory bounds and employs probabilistic set filters to reduce lookup overhead. The system is distinguished by an admission-policy cache that utilizes frequency sketches and cost-based eviction to maximize hit ratios. It minimizes contention and improves throughput through the use of striped ring buffers and concurrent map sharding. The project covers a broad range of data management capabilities, including time-based expiration, item f
Uses memory-efficient probabilistic structures to identify and track the most frequent items within the cache.
هذا المشروع هو محرك توصية منتجات في الوقت الفعلي مبني على Apache Flink. يعمل كخط أنابيب تحليلات سلوكية متدفق يعالج السجلات الخام لاستخلاص اهتمامات المستخدم واتجاهات شعبية المنتجات. يستخدم النظام محرك تصفية تعاوني لحساب تشابه العناصر عبر تشابه جيب التمام وأنماط تفاعل المستخدم المشتركة. ويستخدم خط أنابيب إعادة ترتيب هجين يجمع بين قوائم الشعبية العالمية وملفات تعريف المستخدمين الشخصية لفرتب العناصر الموصى بها. تتضمن البنية متجراً للمستخدمين واسع الأعمدة باستخدام HBase لسجلات السلوك المستمرة وذاكرة تخزين مؤقت مدعومة بـ Redis لقوائم حرارة العناصر في الوقت الفعلي. يتضمن خط الأنابيب قدرات لاستخراج الاهتمامات السلوكية، وتحليل فترات التفاعل، ولوحة تحكم للأداء لمراقبة معدلات استيعاب السجلات.
Tracks real-time item trends using time windows and efficient frequency estimation.