Search Results for "query" - Page 2
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Showing 58 open source projects for "query"
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PoloDB
PoloDB is an embedded document database
PoloDB is an embedded document-oriented NoSQL database that provides MongoDB-like functionality in a lightweight package, ideal for local storage in applications. -
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OpenAI Codex CLI
Lightweight coding agent that runs in your terminal
OpenAI Codex CLI is a lightweight, open-source coding assistant that runs directly in your terminal, designed to bring ChatGPT-level reasoning to your code workflows. It allows developers to interactively query, edit, and generate code within their repositories, all while maintaining version control. The CLI can scaffold new files, run code in sandboxed environments, install dependencies, and commit changes automatically, streamlining chat-driven development. It supports various approval modes—from suggestion-only to full automation—ensuring safe and controlled code execution. ... -
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ZomboDB
Making Postgres and Elasticsearch work together like it's 2023
ZomboDB is a PostgreSQL extension that integrates Elasticsearch directly into Postgres, allowing for powerful full-text search and analytics capabilities. It manages Elasticsearch indices transparently, ensuring transactional consistency and enabling complex queries through SQL. -
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Claw Code
AI agent harness for AI coding agents
Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured,... -
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warp
A super-easy, composable, web server framework for warp speeds
The fundamental building block of warp is the Filter, they can be combined and composed to express rich requirements on requests. A Filter in warp is essentially a function that can operate on some input, either something from a request, or something from a previous Filter, and returns some output, which could be some app-specific type you wish to pass around, or can be some reply to send back as an HTTP response. That might sound simple, but the exciting part is the combinators that exist... -
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pg_mooncake
Real-time analytics on Postgres tables
pg_mooncake is a PostgreSQL extension that brings observability and performance insights to your database by exposing low-level metrics and analytics. It provides developers with enhanced visibility into query execution, memory usage, and system behavior. Ideal for fine-tuning Postgres performance, pg_mooncake is designed for those who need actionable insights without external tools. -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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pgwire
PostgreSQL wire protocol implemented as a rust library.
Build a Postgres compatible access layer for your data service. This library implements PostgreSQL Wire Protocol and provides essential APIs to write PostgreSQL-compatible servers and clients. If you are interested in a related topic, you can check project ideas to build on top of this library. -
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oha
HTTP load generator, inspired by rakyll/hey with tui animation
oha is a tiny program that sends some load to a web application and shows real-time tui inspired by rakyll/hey. This program is written in Rust and powered by tokio and beautiful tui by tui-rs. -q option works differently from rakyll/hey. It's set the overall query per second instead of for each worker. -
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Korvus
Korvus is a search SDK that unifies the entire RAG pipeline
Korvus is an open-source retrieval-augmented generation (RAG) pipeline designed to run entirely inside PostgreSQL, allowing developers to build AI search and knowledge systems directly within a database environment. The project consolidates the typical steps of a RAG pipeline—including embedding generation, document retrieval, reranking, and text generation—into a single query executed within the Postgres ecosystem. By leveraging PostgresML and vector extensions such as pgvector, Korvus eliminates the need for external microservices typically used for AI search architectures, reducing both system complexity and latency. The architecture enables machine learning operations to occur directly in the database, minimizing data transfer between services and improving overall performance for large datasets. -
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Markplane
AI-native, markdown-first project management
...It enables developers to manage their workflow entirely within their existing tools, avoiding context switching between code and project management platforms. The inclusion of an MCP server allows AI systems to query, update, and manage project data directly through natural language interactions. By leveraging version control, it ensures that all project decisions and changes are tracked alongside code. -
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PgDog
PostgreSQL connection pooler, load balancer and database sharder
pgDog is a PostgreSQL proxy and connection management tool built to improve scalability, routing, and operational control for PostgreSQL deployments. It acts as an intelligent intermediary between applications and database servers, enabling load balancing, query routing, and connection pooling in distributed environments. The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. ... -
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Graph Node
Graph Node indexes data from blockchains such as Ethereum
...Subgraphs can be composed into a global graph of all the world's public information. This data can be transformed, organized, and shared across applications for anyone to query with just a few keystrokes. Before The Graph, teams had to develop and operate proprietary indexing servers. This required significant engineering and hardware resources and broke the important security properties required for decentralization. All data is stored and processed on open networks with verifiable integrity. The Graph makes querying this data fast, reliable, and secure. ... -
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Supabase Wrappers
Postgres Foreign Data Wrapper development framework in Rust
Supabase Wrappers is a collection of PostgreSQL extensions (written in Rust) that allow Postgres to interact with external systems like APIs, files, and other databases. It uses Foreign Data Wrappers (FDWs) to treat external resources as if they were native SQL tables, enabling seamless integration with external services directly from SQL queries. -
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tinysearch
Tiny, full-text search engine for static websites built with Rust
...It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. TinySearch is particularly well-suited for blogs and documentation sites generated by static site generators, where simplicity and performance are critical. It processes content into a serialized binary index that can be loaded quickly and searched client-side, eliminating the need for external search services. ... -
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Skytable
Skytable is a fast, secure and reliable realtime NoSQL database
SkytableTM is an insanely fast, free, and open-source, real-time NoSQL database that aims to provide flexible data modeling without compromising on performance or query ability, at scale. Skytable has got exciting features which are ready to deploy and more amazing features on the way. Scale to millions of queries per second per node with no optimizations left on the table. Automated background saving, snapshots and remote snapshots are there when you need them. Natively multithreaded to exploit all CPU cores which helps lower your TCO. ... -
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Vortex
The LLVM of columnar file formats
Vortex is a high-performance toolkit designed for working with compressed Apache Arrow arrays, providing functionality for in-memory, on-disk, and over-the-wire data handling. It aims to be an advanced successor to Apache Parquet, offering dramatically faster random access reads and scans, while maintaining similar compression ratios. Vortex's modular design allows for extensibility, enabling developers to implement custom encodings for efficient data management, particularly for large-scale... -
18
Grafbase
The Grafbase GraphQL Federation Gateway
...The project provides a Rust-based gateway that acts as the central layer for composing and managing distributed APIs, particularly in microservice architectures where data may come from many independent systems. By supporting GraphQL federation standards, the platform enables teams to combine multiple subgraphs or services into a unified schema that clients can query as a single endpoint. Grafbase is designed for large-scale production environments, emphasizing high throughput, low latency, and efficient resource usage through its Rust implementation. The system also includes tools for schema governance, API lifecycle management, and collaboration workflows, helping engineering teams safely evolve complex APIs over time. -
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Sonic
Fast, lightweight & schema-less search backend
Sonic is a super fast and lightweight, schema-less search backend that can be used in place of super-heavy and full-featured search backends like Elasticsearch. It is able to normalize language search queries, auto-complete search queries and offer the most relevant results. Being an identifier index rather than a document index, when queried it provides IDs that can be used to refer to matched documents in an external database. -
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OpenObserve
Elasticsearch/Splunk/Datadog alternative for (logs, metrics, traces)
OpenObserve is a cloud-native observability platform built specifically for logs, metrics, traces, and analytics designed to work at a petabyte scale. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple of dozen knobs to understand and tune which you can get up and running in under 2 minutes. It is a drop-in replacement for Elasticsearch if you are just ingesting data using APIs and searching using Kibana (Kibana is not supported nor required with... -
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async-graphql
A GraphQL server library implemented in Rust
...It is fully compatible with the GraphQL specification and most of its extensions and offers type safety and high performance. You can define a Schema in Rust and procedural macros will automatically generate code for a GraphQL query. This library does not extend Rust's syntax, which means that Rustfmt can be used normally. I value this highly and it is one of the reasons why I developed Async-graphql. I like GraphQL and Rust. I've been using Juniper, which solves the problem of implementing a GraphQL server with Rust. But Juniper had several problems, the most important of which is that it didn't support async/await at the time. ... -
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IndraDB
A graph database written in rust
...But if you're a rust developer that wants to embed a graph database directly in your application, you can use the library. IndraDB's original design is heavily inspired by TAO, facebook's graph datastore. In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed with the assumption that it may be representing a graph large enough that full graph processing is not possible. IndraDB departs from TAO (and most graph databases) in its support for properties. IndraDB offers a variety ways to work with it: as a server with cross-language support, as a rust library, and via CLI. ... -
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Mangle
Go library for Datalog-style logical reasoning and domain modeling
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. ... -
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LocustDB
Massively parallel, high performance analytics database
An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. -
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tabularis
An open-source desktop client for modern databases.
...Features: SQL Notebooks with inline charts and cross-cell variables. AI-powered SQL assistant (OpenAI, Claude, Ollama, and more). Built-in MCP server for AI agent integration. Visual Query Builder with drag-and-drop JOINs. Plugin system to add any database driver. Monaco-based editor with smart autocomplete. High-performance data grid with inline editing. ER Diagram visualization. SSH tunneling. Secure credential storage via OS keychain. Split view, saved queries, SQL dump/import, 10+ themes, customizable shortcuts. ...
