awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 مستودعات

Awesome GitHub RepositoriesEvent Retrieval Services

Services for querying specific event-based data points associated with identified visitors.

Distinguishing note: Focuses on granular event-level retrieval, distinct from broad visitor data fetching.

Explore 2 awesome GitHub repositories matching data & databases · Event Retrieval Services. Refine with filters or upvote what's useful.

Awesome Event Retrieval Services GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • fingerprintjs/fingerprintjsالصورة الرمزية لـ fingerprintjs

    fingerprintjs/fingerprintjs

    27,334عرض على GitHub↗

    Fingerprint is a visitor identification and fraud detection platform that generates persistent, unique identifiers by analyzing browser and device attributes. By extracting technical signals from the client environment, it enables reliable user tracking across sessions without relying on traditional cookies. The platform distinguishes itself through its focus on high-accuracy identification and security-first architecture. It employs edge-side proxying to bypass ad-blockers and privacy restrictions, ensuring consistent data collection. To maintain data integrity, it uses cryptographic payload

    Provides server-side APIs to fetch detailed identification event logs and visitor attributes.

    TypeScriptaudio-fingerprintingbrowserbrowser-fingerprint
    عرض على GitHub↗27,334
  • square/cubeالصورة الرمزية لـ square

    square/cube

    3,878عرض على GitHub↗

    Cube is a time-series analytics platform and event data store designed for real-time performance monitoring. It functions as a metrics engine that ingests timestamped event streams and persists raw logs to enable the computation of statistical summaries, quantiles, and histograms. The system distinguishes itself through a reactive processing model that automatically invalidates metric caches when new events arrive, ensuring query results remain current. It supports both real-time event streaming via persistent connections and the calculation of post hoc statistics from stored event sets. The

    Fetches specific timestamped events over a defined time range via network requests.

    JavaScript
    عرض على GitHub↗3,878
  1. Home
  2. Data & Databases
  3. Event Retrieval Services