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Awesome GitHub RepositoriesServer-Side Aggregations

Performs data transformations and calculations directly within the database engine.

Distinct from Server-Side Data Management: Distinct from Server-Side Data Management: focuses on the execution of complex calculations on stored data rather than storage scoping.

Explore 7 awesome GitHub repositories matching data & databases · Server-Side Aggregations. Refine with filters or upvote what's useful.

Awesome Server-Side Aggregations GitHub Repositories

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  • redis/go-redisredis 的头像

    redis/go-redis

    22,159在 GitHub 上查看↗

    This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha

    Groups and transforms stored data on the database server to perform complex calculations without transferring large datasets to the application.

    Gogogolangredis
    在 GitHub 上查看↗22,159
  • matomo-org/matomomatomo-org 的头像

    matomo-org/matomo

    21,625在 GitHub 上查看↗

    Matomo is a self-hosted web analytics platform designed to track user behavior and website performance while maintaining full data ownership. It functions as a comprehensive analytics suite that captures visitor interactions and processes raw tracking logs into structured metrics, providing organizations with a centralized system for monitoring traffic patterns and engagement. The platform distinguishes itself through a strong emphasis on privacy and modularity. It includes built-in tools to anonymize visitor information and manage user consent, ensuring compliance with global data protection

    Processes raw tracking logs into structured metrics using server-side background tasks.

    PHPanalyticsgrowthhacktoberfest
    在 GitHub 上查看↗21,625
  • kanaries/pygwalkerKanaries 的头像

    Kanaries/pygwalker

    15,628在 GitHub 上查看↗

    Pygwalker is a library that transforms tabular data into interactive, drag-and-drop interfaces for exploratory analysis and visualization. It functions as a grammar-based framework that translates user interactions into declarative chart definitions, allowing for the creation of dynamic data exploration environments directly within notebooks or embedded web applications. The system distinguishes itself by offloading heavy analytical computations to backend kernels, which maintains responsiveness when visualizing large datasets. It supports the serialization of visual states into portable conf

    Offloads heavy analytical computations and aggregations to backend kernels to ensure responsive data exploration.

    Pythondata-analysisdata-explorationdataframe
    在 GitHub 上查看↗15,628
  • midday-ai/middaymidday-ai 的头像

    midday-ai/midday

    14,026在 GitHub 上查看↗

    Midday is an open-source, self-hosted financial dashboard designed for business expense management and automated bookkeeping. It functions as a centralized platform that aggregates transaction history and account balances from multiple external banking providers, allowing users to maintain full control over their sensitive financial data on private infrastructure. The platform distinguishes itself through its automated reconciliation workflows, which categorize business expenditures and generate structured financial reports to reduce manual data entry. By integrating with financial data aggre

    Consolidates multi-source financial data into a unified internal database for consistent reporting and analysis.

    TypeScriptfinancenextjssupabase
    在 GitHub 上查看↗14,026
  • tporadowski/redistporadowski 的头像

    tporadowski/redis

    9,987在 GitHub 上查看↗

    Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

    Groups documents and executes computations like sums and reductions directly on the server.

    Credisredis-for-windowsredis-msi-installer
    在 GitHub 上查看↗9,987
  • apache/hbaseapache 的头像

    apache/hbase

    5,540在 GitHub 上查看↗

    HBase 是一个分布式、宽列 NoSQL 存储和大数据存储引擎,专为稀疏数据集设计。它作为一个可扩展的列式数据库,构建在 Hadoop 分布式文件系统之上,提供对海量结构化和非结构化数据的实时读写访问。 该系统充当跨语言数据库网关,通过原生远程过程调用、REST 和 Thrift 接口提供连接。它通过主从协调模型脱颖而出,该模型实现了跨集群的水平扩展和容错能力。 该项目涵盖了广泛的功能,包括通过单元级可见性标签实现的细粒度访问控制、可插拔数据压缩和服务器端数据聚合。它还通过 MapReduce 集成支持大数据分析工作流,并允许执行自定义的服务器端逻辑。 操作监控通过系统指标跟踪和基于插件的指标导出提供。

    Calculates summaries and statistics directly on the server to minimize data transfer to the client.

    Java
    在 GitHub 上查看↗5,540
  • jovandeginste/workout-trackerjovandeginste 的头像

    jovandeginste/workout-tracker

    1,232在 GitHub 上查看↗

    这是一个自托管的 Web 应用程序,旨在作为管理个人健身数据的中心化平台。它是一个功能全面的活动记录器和健身数据聚合器,允许用户将锻炼历史、健康指标和训练日志整合到一个私有的仪表盘中。 该应用通过安全的授权流程自动同步来自第三方健身服务的锻炼记录,从而脱颖而出。它支持导入标准化的健身文件,能够提取性能指标并在交互式地图上可视化地理路线。除了简单的记录功能,系统还会跟踪特定运动装备的使用情况,以监控其随时间的磨损情况。 该平台提供了一套分析工具,将原始活动数据处理为统计摘要、性能趋势和热力图。它包含用户访问控制、会话管理和界面本地化功能,以支持个性化且安全的体验。系统设计为在网络内托管,并具有针对服务可访问性和数据持久性的可配置设置。

    Processes raw activity logs into statistical summaries and performance trends for progress visualization.

    Godockerfitness-trackergo
    在 GitHub 上查看↗1,232
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