Search Results for "schema"
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Showing 26 open source projects for "schema"
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pg_graphql
GraphQL support for PostgreSQL
pg_graphql is a PostgreSQL extension that enables querying the database with GraphQL using a single a SQL function. The extension reflects a GraphQL schema from the existing SQL schema and exposes it through a SQL function, graphql. resolve(...). This enables any programming language that can connect to PostgreSQL to query the database via GraphQL with no additional servers, processes, or libraries. Each table receives an entry point in the top-level Query type that is a pageable collection with relationships defined by its foreign keys. ... -
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Reshape
An easy-to-use, zero-downtime schema migration tool for Postgres
Reshape is a declarative SQL schema migration tool for PostgreSQL that allows developers to define the desired schema in a single file. It compares the current database schema with the desired state and generates safe, dependency-aware migrations automatically. Reshape is built for simplicity, safety, and version control integration. -
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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. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Neon Database
Neon: Serverless Postgres. We separated storage and compute
...Focus on building applications with time and money-saving features like instant provisioning, autoscaling according to load, and scale to zero. Instantly branch your data and schema to access isolated DB copies for development, CI/CD, and schema migrations with copy-on-write storage. Integrate it into your language or framework within minutes and unlock a simpler developer workflow. -
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SQL Studio
SQL Database Explorer [SQLite, libSQL, PostgreSQL, MySQL/MariaDB
SQL Studio is a database explorer supporting multiple databases like SQLite, libSQL, PostgreSQL, MySQL/MariaDB, DuckDB, and ClickHouse. -
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GraphQL Juniper
GraphQL server library for Rust
...The best place to get started is the Juniper Book, which contains guides with plenty of examples, covering all features of Juniper. Juniper supports the full GraphQL query language according to the specification (October 2021), including interfaces, unions, schema introspection, and validations. It can also output the schema in the GraphQL Schema Language. -
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Turso Database
Turso is an in-process SQL database, compatible with SQLite
...The project is currently in beta, so it is best used with care and proper backups for production data. Turso includes support for concurrent writes through MVCC, change data capture, and faster schema management. It offers bindings and integrations across languages such as Rust, JavaScript, Go, Python, Java, .NET, and WebAssembly. The database also includes vector support, asynchronous Linux I/O with io_uring, and a built-in MCP server that lets AI assistants inspect and modify databases through structured tools. -
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BAML
The AI framework that adds the engineering to prompt engineering
BAML is an open-source framework and domain-specific language designed to bring structured engineering practices to prompt development for large language model applications. Instead of treating prompts as unstructured text, BAML introduces a schema-driven approach where prompts are defined as typed functions with explicit inputs and outputs. This design allows developers to treat language model interactions as predictable software components rather than ad-hoc prompt strings. The framework enables developers to define prompt logic in a dedicated language while integrating it into applications written in various programming languages such as Python, TypeScript, Ruby, and Go. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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SeaQuery
A dynamic SQL query builder for MySQL, Postgres and SQLite
SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, Postgres and SQLite behind a common interface that aligns their behavior where appropriate. -
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Quickwit
Sub-second search & analytics engine on cloud storage
Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped... -
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QSV
Blazing-fast Data-Wrangling toolkit
qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line. -
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Coral
One SQL interface over APIs, files, and live sources
Coral is a local-first SQL runtime that lets agents query APIs, files, and live data sources through a single interface. It is designed to make external data easier for AI agents to inspect, structure, and use without requiring a different integration pattern for every service. The project gives developers a command-line workflow for querying data, inspecting schemas, and working with tables. It is especially useful for agentic systems that need reliable access to context from multiple... -
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ROAPI
Create full-fledged APIs for slowly moving datasets without writing
...Query frontends to translate SQL, GraphQL and REST API queries into Datafusion plans. Datafusion for query plan execution. Data layer to load datasets from a variety of sources and formats with automatic schema inference. Response encoding layer to serialize intermediate Arrow record batch into various formats requested by the client. Its pluggable query core design makes it possible for users to efficiently perform join queries across a diverse set of data sources from simple CSV/Parquet files in Data warehouses to MySQL/Postgres, to SASS-like Google spreadsheets. -
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
...Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you want, no need to match a schema or convert your dataset to a compatible format. Everyone makes mistakes! If typos break your search experience, many users will leave thinking what they were looking for just wasn't there. Start searching through your dataset in less than 5 minutes and quickly connect your codebase to Meilisearch with our official libraries. Meilisearch is designed to work out-of-the-box, no configuration needed. -
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graphql_client
Typed, correct GraphQL requests and responses in Rust
...Supports GraphQL fragments, objects, unions, inputs, enums, custom scalars and input objects. Works in the browser (WebAssembly). Subscriptions support (serialization-deserialization only at the moment). Copies documentation from the GraphQL schema to the generated Rust code. Arbitrary derives on the generated responses. Arbitrary custom scalars. Supports multiple operations per query document. Supports setting GraphQL fields as deprecated and having the Rust compiler check their use. Optional reqwest-based client for boilerplate-free API calls from browsers. Implicit and explicit null support. -
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Lantern Database
PostgreSQL vector database extension for building AI applications
Lantern is a real-time data transformation engine that enables data engineers to build, run, and monitor streaming data pipelines with SQL. It’s designed to process events in motion, offering low-latency stream transformations, aggregations, and enrichment in a declarative way. Lantern is especially suited for modern data infrastructure and analytics platforms. -
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MooseStack
The developer framework for building analytical backends
MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around... -
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Microsoft eXecution Container (MXC)
Policy-driven, layered isolation and containment
Microsoft eXecution Containers, or MXC, is a sandboxed code execution system for running untrusted code across Windows, Linux, and macOS. It is designed for model outputs, plugins, tools, and other code that needs controlled execution boundaries. The project provides a unified JSON configuration schema and a TypeScript SDK while supporting multiple containment backends. Its backends include process containers, Windows Sandbox, LXC, Bubblewrap, Seatbelt, microVM-based options, Hyperlight, IsolationSession, and WSL-related containment. MXC focuses on policy-driven isolation for filesystems, networking, process execution, and runtime behavior. ... -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured... -
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SurrealDB
A scalable, distributed, collaborative, document-graph database
With an SQL-style query language, real-time queries with highly-efficient related data retrieval, advanced security permissions for multi-tenant access, and support for performant analytical workloads, SurrealDB is the next generation serverless database. SurrealDB is the ultimate cloud database for tomorrow's applications. SurrealDB is an innovative NewSQL cloud database, suitable for serverless applications, jamstack applications, single-page applications, and traditional applications. It... -
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async-graphql
A GraphQL server library implemented in Rust
Async-graphql is a GraphQL server-side 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. ... -
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tabularis
An open-source desktop client for modern databases.
Tabularis is a free, open-source desktop database client for PostgreSQL, MySQL/MariaDB, and SQLite. Built with Rust and Tauri v2, it is fast, lightweight, and cross-platform (Windows, macOS, Linux). 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... -
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OctoBase
OctoBase is the open-source database behind AFFiNE
...Developed by the team behind Anytype, OctoBase ensures that data is owned and controlled by the user, using CRDTs (Conflict-free Replicated Data Types) to resolve changes across peers without needing a central server. It supports encrypted, schema-flexible data storage and enables seamless syncing across devices while maintaining privacy. OctoBase is ideal for apps focused on privacy, collaboration, and decentralization, such as personal knowledge bases or peer-to-peer productivity tools. -
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Ambient
The multiplayer game engine
...It aims to make multiplayer game development accessible and flexible, providing an entity-component-system (ECS) at its core that doubles as a real-time in-game database; everything in the game — from world objects to runtime data — is represented as entities + components, which can be synchronized across clients automatically. Ambient supports a package-based workflow reminiscent of Rust’s crate system, where “packages” bundle code, assets, and schema definitions; this modular design encourages reuse, mixing, and sharing of content. The engine includes an asset pipeline that can stream and load common 3D formats (e.g. GLB, FBX) on demand, so players don’t need to pre-download large asset bundles — the engine handles asset streaming.
