Search Results for "database"
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Showing 12 open source projects for "database"
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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 Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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GritQL
GritQL is a query language for searching, linting, and modifying code
GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources. -
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
A highly Performant, Safe, Dynamic SQL(Compile-time) ORM framework written in Rust, inspired by Mybatis and MybatisPlus. Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL... -
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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. -
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Mangle
Go library for Datalog-style logical reasoning and domain modeling
...Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. The project’s implementation is provided as a Go library, enabling developers to embed Mangle directly into their applications or services, such as database-like gRPC systems. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Shuttle Framework
Deploy Rust apps with a single Cargo command
...Build any web service with a fully managed database using Rocket and sqlx. A URL shortener that you can use from your terminal - built with shuttle, rocket and postgres/sqlx. -
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rssbot
Lightweight Telegram RSS notification bot
...You can download the precompiled program directly from Releases (with the Chinese version), the Linux version is musl static link, no other dependencies are required. It should be noted that the RSS records that have been pushed will not be retained. If the converted database is used directly, the old RSS will be pushed repeatedly. -
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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations... -
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Diesel
A safe, extensible ORM and Query Builder for Rust
Diesel is the most productive way to interact with databases in Rust because of its safe and composable abstractions over queries. We don’t want to waste time tracking down runtime errors. We achieve this by having Diesel eliminate the possibility of incorrect database interactions at compile time. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Our focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL. -
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genshin_artifact
Genshin Impact artifacts assessment, artifacts auto combination
...It also includes advanced analysis tools like stat efficiency curves, artifact scoring systems, and potential evaluation metrics, giving users a deeper understanding of gear optimization. The project integrates a database of weapons, artifacts, and character data, enabling comprehensive simulations and comparisons. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Rouille
Web framework in Rust
...Instead, everything is handled in a linear way. Concepts closely related to websites (like cookies, CGI, form input, etc.) are directly supported by rouille. More general concepts (like database handling or templating) are not directly handled, as they are considered orthogonal to the microweb framework. However, rouille's design makes it easy to use in conjunction with any third-party library without the need for any glue code. The rouille library just ignores this optimization and focuses on providing an easy-to-use synchronous API instead, where each request is handled in its own dedicated thread. -
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Synth
The Declarative Data Generator
...Synth uses a declarative configuration language that allows you to specify your entire data model as code. Synth can import data straight from existing sources and automatically create accurate and versatile data models. Synth supports semi-structured data and is database agnostic, playing nicely with SQL and NoSQL databases. Synth supports generation for thousands of semantic types such as credit card numbers, email addresses, and more. -
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Replibyte
Seed your development database with real data
Replibyte is a blazingly fast tool to seed your databases with your production data while keeping sensitive data safe. Support data backup and restore for PostgreSQL, MySQL and MongoDB. Replace sensitive data with fake data. Works on large database (> 10GB). Database Subsetting: Scale down a production database to a more reasonable size. Start a local database with the prod data in a single command. On-the-fly data (de)compression (Zlib). On-the-fly data de/encryption (AES-256). Fully stateless (no server, no daemon) and lightweight binary. Use custom transformers. Auto-detect and version database schema change. ...
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