Search Results for "type"
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Showing 183 open source projects for "type"
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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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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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sqlc
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. Here's how it works. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. Seriously, it's that easy. You don't have to write any boilerplate SQL querying code ever again. See the current list of supported programming languages and databases. sqlc needs to know your database schema and queries in order to generate code. -
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Prisma Client Go
Prisma Client Go is an auto-generated and fully type-safe database
Get started in minutes with a new or existing database. Use full type safety and automated workflows to ship schema changes and write queries with less work. Prisma Client Go is an auto-generated query builder that enables type-safe database access and reduces boilerplate. You can use it as an alternative to traditional ORMs such as gorm, xorm, sqlboiler and most database-specific tools. It is part of the Prisma ecosystem. -
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DynamoDB Toolbox
Lightweight and type-safe query builder for DynamoDB and TypeScript
A high-level abstraction library for Amazon DynamoDB, simplifying data modeling and query operations in JavaScript applications. -
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Jet Database
Type safe SQL builder with code generation and automatic query result
Jet is a complete solution for efficient and high-performance database access, consisting of a type-safe SQL builder with code generation and automatic query result data mapping. Jet currently supports PostgreSQL, MySQL, CockroachDB, MariaDB, and SQLite. Future releases will add support for additional databases. -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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Bob
SQL query builder and ORM/Factory generator for Go
Bob is a SQL query builder for Go that emphasizes composability, type safety, and maintainability. It allows developers to construct dynamic queries in a programmatic and reusable way, supporting both simple and complex SQL logic. Bob helps avoid raw string concatenation, making Go-based database interactions more robust and testable. -
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ZIO Quill
Compile-time Language Integrated Queries for Scala
ZIO Quill is a compile-time language-integrated query library for Scala, enabling the construction of type-safe and efficient database queries. It integrates with the ZIO ecosystem, providing asynchronous and composable database interactions. -
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ODMantic
Sync and Async ODM (Object Document Mapper) for MongoDB
Odmantic is an Object-Document Mapper (ODM) for MongoDB, designed for Python applications using Pydantic models, providing a seamless integration with type safety and validation. -
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Kysely SQL
A type-safe TypeScript SQL query builder
Kysely is a type-safe TypeScript SQL query builder that provides an intuitive and autocompletion-friendly API. It allows developers to construct complex SQL queries with full type safety, reducing runtime errors and improving code maintainability. Kysely supports various SQL dialects and is compatible with Node.js, Deno, and browser environments. -
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Kysely
A type-safe typescript SQL query builder
Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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GRDB.swift
A toolkit for SQLite databases
GRDB.swift is a comprehensive SQLite toolkit for Swift developers, providing type-safe database access through mapping to Swift structs and records. It offers query building, migrations, concurrency control, and Swift Codable integration—ideal for local or embedded data persistence in iOS, macOS, and cross-platform Swift applications. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
...SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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PostgreSQL JDBC Driver
Postgresql JDBC Driver
An Open source JDBC driver written in Pure Java (Type 4), which communicates using the PostgreSQL native network protocol. The PostgreSQL JDBC Driver allows Java programs to connect to a PostgreSQL database using standard, database-independent Java code. pgJDBC is an open source JDBC driver written in Pure Java (Type 4), and communicates in the PostgreSQL native network protocol. Because of this, the driver is platform-independent; once compiled, the driver can be used on any system. pgJDBC allows Java programs to connect to a PostgreSQL database using standard, database-independent Java code. pgJDBC provides a reasonably complete implementation of the JDBC specification in addition to some PostgreSQL-specific extensions. ... -
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Specification for GraphQL
A working draft of the Specification for GraphQL, a query language
...GraphQL does not mandate a particular programming language or storage system for application services that implement it. Instead, application services take their capabilities and map them to a uniform language, type system, and philosophy that GraphQL encodes. -
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GeoLite.mmdb
MaxMind's GeoIP2 GeoLite2 Country, City, and ASN databases
...It is meant for projects that need IP geolocation data without manually navigating MaxMind downloads every time. The repository offers direct download links for each database type, making it easier to integrate GeoLite2 files into scripts, deployments, or network tools. These databases can support use cases such as traffic analysis, regional routing, analytics enrichment, firewall rules, and location-aware services. Because the data comes from MaxMind, users still need to respect the applicable database license terms. ... -
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Supabase
The open source Firebase alternative
...Write custom code and cron jobs without deploying or scaling servers. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. Develop locally and push to production when you're ready. Manage Supabase projects from your local machine. -
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MongoDB Rust Driver
The official MongoDB Rust Driver
The MongoDB Rust Driver is a native, idiomatic Rust client for MongoDB that gives systems software and back-end services the ability to interact with MongoDB from safe, performant Rust code. It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full use of the database’s capabilities from Rust applications. Because it’s asynchronous by design, it works well with Rust async runtimes like Tokio and async-std, letting developers build highly concurrent networked services that efficiently use modern multicore hardware. ... -
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Slick database
Slick (Scala Language Integrated Connection Kit) is a modern database
...It allows you to work with relational databases almost as if you were using Scala collections, while at the same time giving you full control over when a database access happens and what data is transferred. By writing your queries in Scala you can benefit from the static type checking, compile-time safety, and compositionality of Scala, while retaining the ability to drop down to raw SQL where needed for custom or advanced database features. -
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level
Universal abstract-level database for Node.js and browsers
...This is a convenience package that exports classic-level in Node.js and browser-level in browsers, making it an ideal entry point to start creating lexicographically sorted key-value databases. All asynchronous methods also support callbacks. TypeScript type declarations are included and cover the methods that are common between classic-level and browser-level. Usage from TypeScript requires generic type parameters. At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
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Ebean
Ebean ORM
...For ORM queries Ebean can profile the object graph being used and either automatically tune the query. Docker test containers for all the supported databases. Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. IDE auto-complete when writing queries, compile time checking and it's FUN. Optimize queries to only fetch what we need (partial objects). Automatically avoid N+1 via a smart load context. -
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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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Trailbase
A blazingly fast, open-source application server with type-safe APIs
A blazingly fast, open-source application server with type-safe APIs, built-in JS/ES6/TS Runtime, Auth, and Admin UI built on Rust, SQLite & V8. Simplify with fewer moving parts: an easy-to-self-host, single-file, extensible backend for your mobile, web, or desktop application. Sub-millisecond latencies eliminate the need for dedicated caches, no more stale or inconsistent data. -
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SQLDelight
SQLDelight - Generates typesafe Kotlin APIs from SQL
SQLDelight is a multiplatform Kotlin SQL library developed by Square. It generates typesafe Kotlin APIs from your SQL statements and integrates seamlessly with Android, iOS, JVM, and web platforms. SQLDelight ensures compile-time verification of SQL queries and supports migrations, transactions, and coroutines, making it a robust solution for cross-platform persistence. -
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pgTyped
pgTyped - Typesafe SQL in TypeScript
pgtyped brings type safety to SQL queries in TypeScript by parsing SQL files and generating typed query functions. It analyzes SQL against your PostgreSQL schema and outputs TypeScript code that ensures inputs and results are correctly typed. This allows teams to use raw SQL while retaining the safety and developer experience of TypeScript. -
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Neboa
Type-safe NoSQL with Node & SQLite
Neboa is a lightweight, decentralized NoSQL database designed for distributed applications. It offers peer-to-peer synchronization and ensures data integrity across multiple nodes without relying on centralized servers, making it ideal for edge computing and offline-first applications. -
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Laravel Migrations Generator
Generate your migrations from an existing database schema
Automatically generate your migrations from an existing database schema. Generate Laravel Migrations from an existing database, including indexes and foreign keys. Laravel Migrations Generator will first generate all the tables, columns and indexes, and afterwards setup all the foreign key constraints. So make sure you include all the tables listed in the foreign keys so that they are present when the foreign keys are created.
