# MongoDB aggregation pipeline tool

> Search results for `mongodb aggregation pipeline` on awesome-repositories.com. 118 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/mongodb-aggregation-pipeline

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## Results

- [mongodb/mongoid](https://awesome-repositories.com/repository/mongodb-mongoid.md) (3,917 ⭐) — Mongoid is an object-document mapper for Ruby that translates Ruby objects into MongoDB documents. It serves as a document database mapper and client library, providing a structured way to manage data persistence and retrieval within a NoSQL environment.

The project distinguishes itself by offering advanced data retrieval tools, including vector search for semantic similarity and full-text search for keyword matching. It implements high-security data protection through client-side field-level encryption, encryption key rotation, and TLS connection security to protect sensitive information.

B
- [pola-rs/polars](https://awesome-repositories.com/repository/pola-rs-polars.md) (38,855 ⭐) — Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters.

The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e
- [star-history/star-history](https://awesome-repositories.com/repository/star-history-star-history.md) (9,200 ⭐) — Star History is a suite of utilities for visualizing the growth of GitHub repositories over time. It functions as a star growth visualizer, a repository comparison tool, a metric embedder for external websites, and a trending analytics dashboard.

The project enables the analysis of star acquisition rates for multiple repositories on a single chart to determine relative growth. It also provides the ability to rank repositories by growth windows to identify rising projects.

The system covers project analytics and open source benchmarking by generating time-series charts and growth reports. It
- [braz/mongodb-aggregate-adventure](https://awesome-repositories.com/repository/braz-mongodb-aggregate-adventure.md) (5 ⭐) — An intro to MongoDB Aggregation via a set of self-guided workshops.
- [stan-smith/fossflow](https://awesome-repositories.com/repository/stan-smith-fossflow.md) (17,487 ⭐) — FossFLOW is an open source metadata search engine and data platform designed to aggregate and normalize repository information from multiple code hosting services. It functions as a developer productivity utility, enabling users to discover software projects and analyze contributor networks through a unified, searchable index.

The platform distinguishes itself by utilizing vector-based semantic search, which converts project descriptions and code metadata into numerical embeddings to facilitate discovery based on conceptual relevance. To maintain a consistent view of disparate data, the syste
- [mongodb/mongo-python-driver](https://awesome-repositories.com/repository/mongodb-mongo-python-driver.md) (4,342 ⭐) — The MongoDB Python Driver is a client library and NoSQL database client used to execute CRUD operations and manage data within MongoDB databases using the Python programming language. It serves as a database connectivity library that handles authentication and connection pooling, while also providing a vector search client for managing embedding indexes and retrieving data based on semantic similarity.

The driver supports both synchronous and asynchronous database driver models to perform non-blocking I/O operations and stream data from database clusters. It distinguishes itself through speci
- [mongodb-haskell/mongodb](https://awesome-repositories.com/repository/mongodb-haskell-mongodb.md) (170 ⭐) — MongoDB driver for Haskell
- [samapriya/awesome-gee-community-datasets](https://awesome-repositories.com/repository/samapriya-awesome-gee-community-datasets.md) (1,183 ⭐) — This project provides a curated catalog of community-contributed geospatial datasets designed for environmental analysis and mapping workflows. It functions as a centralized repository for discovering and retrieving geographic information, facilitating access to earth observation data without the need for manual preprocessing.

Beyond its role as a data catalog, the project includes automation utilities for maintaining project documentation and monitoring repository health. It uses marker-based text injection to dynamically update documentation files and aggregates public engagement metrics, s
- [mongodb/mongo](https://awesome-repositories.com/repository/mongodb-mongo.md) (28,158 ⭐) — This project is a distributed, document-oriented database system designed to store information in flexible, hierarchical structures. It supports horizontal scaling through automated sharding and maintains high availability across global clusters using a multi-node replication protocol. By executing multi-document operations as atomic units, the system ensures data integrity and consistency across distributed environments.

The platform distinguishes itself by integrating advanced vector-based indexing, which enables semantic similarity searches alongside traditional geospatial and lexical quer
- [mongodb/laravel-mongodb](https://awesome-repositories.com/repository/mongodb-laravel-mongodb.md) (7,075 ⭐) — This project is a MongoDB database driver and object-relational mapper that brings MongoDB support to the Laravel Eloquent model and query builder. It provides a NoSQL model mapper that allows MongoDB collections to be mapped to object-oriented models using the Active Record pattern.

The integration enables the use of a fluent query builder for constructing queries and aggregation pipelines without writing raw database syntax. It supports schema-less model integration, allowing applications to manage unstructured data while maintaining compatibility with standard object-oriented patterns.

Th
- [simstudioai/sim](https://awesome-repositories.com/repository/simstudioai-sim.md) (28,796 ⭐) — This project is an AI agent orchestration platform that provides a visual environment for building, testing, and deploying complex automation workflows. It functions as a low-code development interface where users can chain discrete functional blocks into dependency-aware pipelines to integrate artificial intelligence with external data and services. The platform supports the creation of intelligent conversational agents, automated business processes, and multi-service API orchestrations within a unified workspace.

The platform distinguishes itself through its event-driven integration engine,
- [ccpgames/aggregated](https://awesome-repositories.com/repository/ccpgames-aggregated.md) (14 ⭐) — aggregateD
- [growinggit/github-chinese-top-charts](https://awesome-repositories.com/repository/growinggit-github-chinese-top-charts.md) (108,509 ⭐) — This project functions as a curated software directory and developer resource index, providing a centralized platform for discovering and evaluating high-quality open-source repositories. It serves as an aggregator that monitors trending software and educational resources, organizing them by technical domain and programming language to assist developers in identifying tools for their specific technical challenges.

The directory distinguishes itself through a community-driven curation workflow, where repository lists are validated and updated based on collective developer consensus. This infor
- [mongodb/mongodb-atlas-cli](https://awesome-repositories.com/repository/mongodb-mongodb-atlas-cli.md) (184 ⭐) — MongoDB Atlas CLI enables you to manage your MongoDB in the Cloud
- [maguowei/starred](https://awesome-repositories.com/repository/maguowei-starred.md) (1,917 ⭐) — Starred is a utility that automates the management and documentation of starred repositories. It functions by fetching repository metadata through the GitHub API and organizing these projects into structured, categorized lists based on programming language or topic.

The tool distinguishes itself by maintaining these lists through automated, scheduled workflows that synchronize data directly to a dedicated repository. It supports the inclusion of private repositories in the generated output, ensuring that a user's complete collection is documented and backed up.

The project provides a configu
- [payloadcms/payload](https://awesome-repositories.com/repository/payloadcms-payload.md) (43,053 ⭐) — Payload is a headless content management system and application framework that uses a code-first approach to define data schemas and administrative interfaces. By utilizing a centralized, type-safe configuration object, it automatically generates database schemas, API endpoints, and a fully customizable admin panel. The system is built on a database-agnostic architecture, allowing it to interface with various storage engines while providing a unified, type-safe API for server-side operations, REST, and GraphQL.

What distinguishes Payload is its deep extensibility and developer-centric design.
- [cube-js/cube](https://awesome-repositories.com/repository/cube-js-cube.md) (20,251 ⭐) — Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools.

The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
- [mongodb/django-mongodb-backend](https://awesome-repositories.com/repository/mongodb-django-mongodb-backend.md) (223 ⭐) — Django MongoDB Backend
- [jlcodes99/vscode-antigravity-cockpit](https://awesome-repositories.com/repository/jlcodes99-vscode-antigravity-cockpit.md) (3,101 ⭐) — This project is an AI model quota monitoring and management tool for development environments. It provides a centralized interface for tracking remaining request limits, managing multiple authorized API accounts, and orchestrating AI service access.

The system synchronizes quota reset cycles and automates model activation through scheduled tasks. It enables the inspection of large language model capabilities, such as context window sizes and supported input types, while allowing models to be clustered into groups based on shared service categories.

Real-time usage data is delivered through a
- [mongodb/mongodb-kubernetes-operator](https://awesome-repositories.com/repository/mongodb-mongodb-kubernetes-operator.md) (1,364 ⭐) — MongoDB Community Kubernetes Operator
- [redisearch/redisearch](https://awesome-repositories.com/repository/redisearch-redisearch.md) (6,161 ⭐) — RediSearch is a Redis module that adds secondary indexing, full-text search, aggregation, and vector similarity search directly into the in-memory data store. It operates as an in-process search engine, extending the core key-value store with capabilities for indexing hash and JSON documents, enabling fast field-level lookups beyond primary key access.

The module provides a full-text search engine built on inverted indexes, supporting stemming, fuzzy matching, and relevance scoring via tf-idf. It also includes a vector similarity search engine using a Hierarchical Navigable Small World graph
- [hasura/graphql-engine](https://awesome-repositories.com/repository/hasura-graphql-engine.md) (32,064 ⭐) — graphql-engine is an automated GraphQL API engine that transforms database tables and relationships into a queryable GraphQL schema. It functions as a federation gateway and mapper, instantly generating APIs with built-in filtering, pagination, and mutations from existing databases and remote schemas.

The project distinguishes itself through a fine-grained access control layer that enforces row-level and field-level permissions. It further provides a real-time data subscription server that converts standard queries into live streams and a system for triggering event-driven webhooks and notifi
- [mongodb-js/mongodb-mcp-server](https://awesome-repositories.com/repository/mongodb-js-mongodb-mcp-server.md) (1,054 ⭐) — A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
- [hazelcast/hazelcast](https://awesome-repositories.com/repository/hazelcast-hazelcast.md) (6,570 ⭐) — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources.

What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
- [anuraghazra/github-readme-stats](https://awesome-repositories.com/repository/anuraghazra-github-readme-stats.md) (79,661 ⭐) — This project is a serverless service that generates dynamic, themeable visual summaries of software development activity. It functions as an automated metadata visualizer, transforming raw platform logs and repository metrics into resolution-independent vector graphics that can be embedded directly into markdown environments.

The service distinguishes itself by offering highly configurable, query-parameter-driven rendering that allows users to customize the visual presentation of their coding patterns, language proficiency, and repository details. It supports both real-time generation via ser
- [ericmj/mongodb](https://awesome-repositories.com/repository/ericmj-mongodb.md) (567 ⭐) — MongoDB driver for Elixir
- [meilisearch/meilisearch](https://awesome-repositories.com/repository/meilisearch-meilisearch.md) (58,118 ⭐) — Meilisearch is a Rust-based search engine providing typo-tolerant full-text and vector-based semantic search with real-time conversational capabilities.
- [jackett/jackett](https://awesome-repositories.com/repository/jackett-jackett.md) (14,926 ⭐) — Jackett is a self-hosted background service that functions as a BitTorrent tracker aggregator and proxy. It enables automated media management applications to query multiple torrent indexers simultaneously by translating standardized search requests into site-specific formats and consolidating the resulting data into a single, unified feed.

The service distinguishes itself through an adapter-based architecture that handles the complexities of disparate tracker interfaces and security protocols. It integrates with external proxy services to bypass anti-bot challenges and maintain persistent ac
- [mongodb/motor](https://awesome-repositories.com/repository/mongodb-motor.md) (2,530 ⭐) — Motor - the async Python driver for MongoDB and Tornado or asyncio
- [docling-project/docling](https://awesome-repositories.com/repository/docling-project-docling.md) (61,674 ⭐) — Docling is a modular framework designed for document parsing, layout analysis, and structured data extraction. It transforms unstructured files and web content into a unified, hierarchical data model that preserves the spatial and semantic relationships between text, tables, images, and layout elements. By normalizing diverse input formats into a consistent internal representation, the library enables uniform processing across various document types.

The project distinguishes itself through a schema-driven approach that maps document regions to strongly-typed objects, ensuring data accuracy t
- [hunxbyts/ghosttrack](https://awesome-repositories.com/repository/hunxbyts-ghosttrack.md) (6,753 ⭐) — GhostTrack is an open-source intelligence (OSINT) framework that aggregates geographic, network, and social identity information from public data sources. It functions as a digital footprint analyzer, collecting various pieces of publicly available information to build comprehensive profiles of target individuals.

The framework combines multiple investigative capabilities into a single tool, including IP address geolocation, phone number intelligence, and social media username discovery. It distributes queries across external data services to maximize coverage and accuracy, resolving IP addre
- [bitfield/script](https://awesome-repositories.com/repository/bitfield-script.md) (6,991 ⭐) — This project is a Go shell scripting library and framework designed for writing automation scripts and CLI tools. It provides a concurrent data pipeline system for chaining sources, filters, and sinks to process text and JSON streams.

The library distinguishes itself through a comprehensive toolkit for shell-like operations, including a text processing engine for regular expression filtering and frequency analysis, a filesystem utility toolkit for recursive search and path manipulation, and an integrated HTTP client wrapper for building data pipelines that fetch web content.

The capability s
- [sakulstra/meteor-aggregate](https://awesome-repositories.com/repository/sakulstra-meteor-aggregate.md) (39 ⭐) — A simple package to add proper aggregation support for Meteor. This package exposes .aggregate method on Mongo.Collection instances.
- [kedacore/keda](https://awesome-repositories.com/repository/kedacore-keda.md) (10,314 ⭐) — KEDA is a Kubernetes event-driven autoscaler and cloud event scaling engine. It functions as a custom metrics provider that monitors external event sources—including message brokers, databases, and cloud metrics—to dynamically adjust the replica counts of containerized workloads.

The project is distinguished by its scale-to-zero workflow, which reduces workloads to zero replicas during inactivity and automatically restarts them when new events are detected. It operates as a multi-cloud event trigger system, using a pluggable scaler interface to integrate with a wide array of third-party servi
- [thephpleague/pipeline](https://awesome-repositories.com/repository/thephpleague-pipeline.md) (1,000 ⭐) — League\Pipeline
- [piskvorky/gensim](https://awesome-repositories.com/repository/piskvorky-gensim.md) (16,361 ⭐) — Gensim is a natural language processing toolkit designed for large-scale text analysis and the training of semantic vector embeddings. It provides a framework for identifying latent thematic structures within document collections and calculating semantic similarity between text segments using unsupervised statistical algorithms.

The project is distinguished by its ability to handle datasets that exceed available system memory through incremental corpus streaming, which processes documents one at a time from disk. It utilizes sparse vector representations and dictionary-based token mapping to
- [apache/pinot](https://awesome-repositories.com/repository/apache-pinot.md) (6,098 ⭐) — Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability.

The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
- [wzdnzd/aggregator](https://awesome-repositories.com/repository/wzdnzd-aggregator.md) (6,689 ⭐) — This project is a proxy aggregation platform designed to collect and verify free proxy server lists from web platforms, social media, and public repositories. It functions as a crawler framework that gathers proxy data and subscription links, a validation tool for testing server liveness, and a synchronization service for distributing the results.

The system uses a plugin-based architecture that allows for the integration of custom Python scripts to handle diverse web source structures. It also includes utilities to transform raw proxy data into standardized configuration formats compatible w
- [mongodb/mongo-go-driver](https://awesome-repositories.com/repository/mongodb-mongo-go-driver.md) (8,506 ⭐) — The mongo-go-driver is a Go library for building applications that integrate with a MongoDB document store. It enables the storage and retrieval of flexible document data by providing a bridge between Go backends and the database.

The driver implements specialized capabilities for semantic vector search, allowing the handling and execution of high-dimensional vector data for similarity-based retrieval. It also supports full-text search via linguistic analysis and programmatic search index management.

The project covers a broad range of database operations, including document-based CRUD, bulk
- [h2database/h2database](https://awesome-repositories.com/repository/h2database-h2database.md) (4,607 ⭐) — H2 is a JDBC-compliant relational database management system written in Java. It functions as an embeddable SQL database that can run directly within an application process to remove network latency, or as an in-memory database for high-performance volatile storage. It also includes a web-based console for executing SQL commands and administering schemas.

The system is characterized by its flexible deployment modes, including a standalone server mode for remote TCP/IP access and a mixed mode for simultaneous local and remote connectivity. It features a dialect emulation layer and compatibilit
- [loyalsoldier/v2ray-rules-dat](https://awesome-repositories.com/repository/loyalsoldier-v2ray-rules-dat.md) (18,823 ⭐) — This project provides a collection of structured, binary-encoded routing datasets designed for proxy software to automate network traffic management. By mapping domain names and IP addresses to specific functional categories, it enables proxy clients to make granular, policy-based connection decisions. The repository serves as a centralized source for routing metadata, ensuring that traffic steering logic remains consistent across various networking implementations.

The project distinguishes itself through an automated aggregation pipeline that processes community-maintained datasets into a u
- [kamranahmedse/developer-roadmap](https://awesome-repositories.com/repository/kamranahmedse-developer-roadmap.md) (357,434 ⭐) — Developer Roadmap is a community-driven platform that provides structured, graph-based learning paths for software engineering. It serves as a comprehensive knowledge repository where technical domains are organized into visual sequences to guide professional skill acquisition and career growth.

The project distinguishes itself through a collaborative ecosystem that enables users to contribute roadmaps, curate industry best practices, and maintain professional profiles. It integrates diagnostic assessment frameworks to evaluate technical proficiency, helping developers identify knowledge gaps
- [mongodb-developer/the-little-mongodb-book](https://awesome-repositories.com/repository/mongodb-developer-the-little-mongodb-book.md) (4 ⭐) — The Little MongoDB Book
- [posthog/posthog](https://awesome-repositories.com/repository/posthog-posthog.md) (35,060 ⭐) — PostHog is a comprehensive product analytics and feature management platform designed to capture, process, and visualize user behavior data. It provides a unified suite for tracking application events, managing feature rollouts, and monitoring system health through session recordings and error tracking. By leveraging a columnar-storage-optimized architecture, the platform enables high-performance aggregation and filtering across massive event datasets.

What distinguishes PostHog is its integrated approach to data pipelines and application control. It features a robust event ingestion system t
- [spring-projects/spring-data-examples](https://awesome-repositories.com/repository/spring-projects-spring-data-examples.md) (5,421 ⭐) — This project is a reference implementation providing a collection of practical examples for data access patterns and repository abstractions within the Spring Data ecosystem. It serves as a comprehensive showcase for implementing consistent data layers across various relational and non-relational databases.

The repository specifically demonstrates multi-store persistence by integrating relational, document, and vector databases within a single application. It includes implementations for vector search to manage high-dimensional embeddings and similarity searches across different database tech
- [mongodb/node-mongodb-native](https://awesome-repositories.com/repository/mongodb-node-mongodb-native.md) (10,180 ⭐) — The MongoDB Node.js Driver is a programmatic interface and NoSQL database client used to manage document storage and execute operations within a MongoDB database. It serves as an asynchronous database interface and connection manager that enables Node.js applications to integrate with MongoDB servers.

The project implements client-side field encryption to secure sensitive data and queries locally before transmission. It also provides a BSON serialization library to convert JavaScript objects into a binary format for efficient storage and network transmission.

The driver covers a broad range
- [signoz/signoz](https://awesome-repositories.com/repository/signoz-signoz.md) (27,355 ⭐) — SigNoz is a full-stack observability platform designed to collect, store, and visualize metrics, logs, and distributed traces in a unified environment. It leverages OpenTelemetry-based data collection to ingest telemetry from diverse sources using vendor-neutral protocols, ensuring interoperability across complex microservices architectures. The platform utilizes a high-performance columnar storage engine to enable rapid aggregation and filtering, providing a centralized backend for monitoring application health and performance.

What distinguishes the platform is its focus on automated instru
- [antonmedv/fx](https://awesome-repositories.com/repository/antonmedv-fx.md) (20,282 ⭐) — Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of structured data. It functions as a terminal-based utility that handles both automated shell pipelines and interactive navigation of complex, nested data hierarchies.

The tool distinguishes itself by integrating a JavaScript-based engine that executes user-provided logic to filter, map, or modify data fields within a sandboxed runtime. It maintains a responsive interface by decoupling data processing from the display loop, allowing users to explore large datasets through an inte
- [hyfather/pipeline](https://awesome-repositories.com/repository/hyfather-pipeline.md) (61 ⭐) — Pipelines using goroutines
- [parse-community/parse-server](https://awesome-repositories.com/repository/parse-community-parse-server.md) (21,403 ⭐) — Parse Server is a backend-as-a-service solution and Node.js framework that provides a ready-to-use REST and GraphQL API for mobile and web applications. It functions as a core backend infrastructure for managing database schemas, user authentication, and API routing.

The system distinguishes itself with a real-time data engine that pushes database updates to clients via WebSockets and a GraphQL server that automatically generates schemas based on application data models. It also features an adapter-based storage layer that abstracts interactions with various cloud and local backends.

The pla