Search Results for "model-builder" - Page 2
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Showing 324 open source projects for "model-builder"
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AgensGraph
AgensGraph, a transactional graph database based on PostgreSQL
AgensGraph is a multi-model database that extends PostgreSQL with graph database capabilities, enabling users to work with both relational and graph data within a single system. It supports the Cypher query language alongside SQL, making it ideal for hybrid workloads. -
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XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
...Make retroactive corrections, simplify data migrations, and get clarity on out-of-order events. It is the interconnection of facts that makes them valuable. Query the relational model with SQL and the graph model with Datalog, over the same data. Explore all your data. Across all implicit relationships, across all time. As a document-oriented database, XTDB makes your data immediately available without the need for an upfront schema. Both structured and unstructured data are at home in XTDB. Legal regulations like GDPR often pose a challenge when designing systems around immutable data. -
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Realm
Mobile database: a replacement for Core Data & SQLite
...Start in minutes, port your app in hours, and save yourself weeks of work. Available for Swift, Objective-C, Java, Kotlin, C#, and JavaScript. Realm’s object-oriented data model is simple to learn, doesn’t need an ORM, and lets you write less code. Realm’s local database persists data on-disk, so apps work as well offline as they do online. Realm is fully-featured, lightweight, and efficiently uses memory, disk space, and battery life. Realm was built for mobile developers, with simplicity in mind. The idiomatic, object-oriented data model can save you thousands of lines of code. ... -
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db
Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite, etc.
...Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite and MongoDB with ORM-like features. Our agnostic API is compatible with SQL and NoSQL databases. Use the SQL builder or raw SQL statements for advanced cases. An (optional) ORM-like layer is available for all your data modelling needs. The goal of upper/db is to give you tools for the most common operations with databases and stay out of the way in more advanced cases. If you feel like writing tons of simple SELECT * statements by hand is not the best use of your time, then upper/db is the library for you. ... -
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GridDB
GridDB is a next-generation open source database
...GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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SQLAlchemy
The Database Toolkit for Python
...A relationally-oriented query system, exposing the full range of SQL's capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL. -
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Dragonfly
A modern replacement for Redis and Memcached
...Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. -
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EdgeDB
A next-generation graph-relational database
...Powered by the Postgres query engine under the hood, EdgeDB thinks about schema the same way you do: as objects with properties connected by links. It's like a relational database with an object-oriented data model, or a graph database with strict schema. We call it a graph-relational database. The core unit of schema in the graph-relational model is the object type, analogous to a table in SQL. Object types contain properties and can be linked to other object types to form a schema graph. -
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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... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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pglogical
Logical Replication extension for PostgreSQL
pglogical is an advanced logical replication extension for PostgreSQL that allows selective replication of data between databases. Unlike physical replication, it enables fine-grained control of which tables or changes to replicate. It’s well-suited for multi-master setups, version upgrades, and real-time data distribution across environments. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. ... -
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TypeDB
TypeDB: a strongly-typed database
...TypeDB provides a strong type system for developers to break down complex problems into meaningful and logical systems. Through TypeQL, TypeDB provides powerful abstractions over low-level and complex data patterns. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level, as opposed to join-tables, columns, documents, vertices, edges, and properties.Types provide a way to describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. -
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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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TerminusDB
TerminusDB is a distributed database with a collaboration model
A distributed document-oriented graph database with powerful version control, enabling collaboration and efficient knowledge graph management. -
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jdbi
jdbi is designed to provide convenient tabular data access in Java
...Unlike an ORM, we do not aim to provide a complete object-relational mapping framework - instead of that hidden complexity, we provide building blocks that allow you to construct the mapping between relations and objects as appropriate for your application. The Core API provides a fluent, imperative interface. Use Builder style objects to wire up your SQL to rich Java data types. -
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Commanded EventStore
Event store using PostgreSQL for persistence
Commanded EventStore is an Elixir-based event store built for event-sourced systems using the Commanded framework. It stores domain events as immutable facts and provides mechanisms for publishing, persisting, and querying events. Built with PostgreSQL as its backend, it ensures strong consistency and is optimized for CQRS architectures. -
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Lesan
New way to create web server and NoSQL data model
Lesan is a multilingual text processing and translation library designed for natural language processing (NLP) applications. It provides tools for text normalization, tokenization, and translation across multiple languages. -
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TanStack DB
A reactive client store for building super fast apps
...Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that keeps backends simple and consistent. -
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MongoDB PHP Library
The Official MongoDB PHP library
...The project also includes helpers for working with BSON types such as ObjectId, UTC datetime, and decimals, which helps bridge the gap between native PHP types and MongoDB’s storage model. -
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DBX
15MB, lightweight, cross-platform database client
...It includes a query editor with syntax highlighting, autocomplete, formatting, diagnostics, saved snippets, query history, and tab restoration. dbx also includes an AI SQL assistant that can generate, explain, optimize, and help fix SQL through compatible model providers. Its main value is combining broad database coverage, a modern query workflow, and lightweight deployment across desktop and self-hosted environments. -
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Advanced Alchemy
A carefully crafted, thoroughly tested, optimized companion library
advanced-alchemy is an opinionated ORM toolkit built on SQLAlchemy and designed for integration with the Litestar web framework. It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps. -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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SQL Explorer
Easily share data across your company via SQL queries
...Comes with support for multiple connections, to many different SQL database types, a schema explorer, query history (e.g. lightweight version control), a basic security model, in-browser pivot tables, and more. SQL Explorer values simplicity, intuitive use, unobtrusiveness, stability, and the principle of least surprise. SQL Explorer is inspired by any number of great query and reporting tools out there. -
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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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realm dotnet
Realm is a mobile database: a replacement for SQLite & ORMs
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users, and the backend. Accelerate time-to-market with easy to learn, language-native APIs that simplify data access. Device Sync, backed by MongoDB Atlas, handles the most complex part of connecting your client to the backend with ease – guaranteeing an app that works as expected and syncs data reliably, every time. ...
