6 repository-uri
Functions for calculating document counts and metrics without retrieving full records.
Distinct from Document Storage: Distinct from document storage: focuses on query-time aggregation and counting rather than storage structure.
Explore 6 awesome GitHub repositories matching data & databases · Query Aggregations. Refine with filters or upvote what's useful.
This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d
Calculates the number of documents matching a query without retrieving full document data to optimize performance for large datasets.
Quickwit is a cloud-native, distributed search engine designed for observability data such as logs, traces, and metrics. It functions as an observability backend that decouples compute from storage by persisting indices directly in S3-compatible cloud object stores. The system is distinguished by its compatibility with the Elasticsearch REST API, allowing it to integrate with existing clients and log shippers without reconfiguration. It also serves as an OpenTelemetry data indexer, ingesting technical data via the OpenTelemetry Protocol using gRPC and HTTP. The engine utilizes a hybrid of co
Calculates summary statistics and aggregations over large datasets to identify technical patterns and trends.
FlutterFire is a collection of official plugins that integrate Firebase backend services into Flutter applications. It serves as a backend-as-a-service integration library, providing client-side wrappers for cloud authentication, databases, storage, and monitoring services. The project enables the integration of serverless backend logic and real-time data synchronization using NoSQL documents and state synchronization. It also provides capabilities for generative AI integration, including large language models, image generation, and local machine learning model management. The suite covers a
Retrieves and manages documents using pipelines, aggregated queries, and efficient document counting.
This project serves as a comprehensive educational repository and technical reference collection, documenting a wide range of software engineering practices and modern development technologies. It provides a structured learning path for developers, curating tutorials and practical examples that cover the full lifecycle of application development, from initial project scaffolding to deployment and maintenance. The repository distinguishes itself by offering deep technical insights into complex architectural patterns, including actor-based concurrency models for managing parallel tasks and cont
Provides functions for calculating metrics and counts on stored data without retrieving full records.
Tortoise ORM is an asynchronous object-relational mapper for Python that mirrors Django's model and queryset API while running on asyncio. It defines database tables as Python classes with typed fields and supports foreign key, many-to-many, and one-to-one relations, providing a chainable query API for filtering, annotating, grouping, and prefetching related objects without blocking the event loop. The ORM includes a built-in migration engine that detects model changes, generates migration files, and applies or reverts schema changes through a command-line tool. It connects to PostgreSQL, MyS
Filters, annotates, groups, and aggregates records using a composable async query API.
Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist
Computes results across a set of documents using dataframe-style calculation strings.