Search Results for "data access layer"
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Showing 3160 open source projects for "data access layer"
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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based repositories. This module deals with enhanced support for JPA-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. -
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db
Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite, etc.
upper/db is a productive data access layer (DAL) for Go that provides agnostic tools to work with different data sources. 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. ... -
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Simple DirectMedia Layer
Simple Directmedia Layer
Simple DirectMedia Layer is a cross-platform development library designed to provide low-level access to audio, keyboard, mouse, joystick, and graphics hardware via OpenGL and Direct3D. It is used by video playback software, emulators, and popular games including Valve's award-winning catalog and many Humble Bundle games. SDL officially supports Windows, macOS, Linux, iOS, and Android. -
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Micronaut Data
Ahead of Time Data Repositories
Micronaut Data is a database access toolkit that uses Ahead of Time (AoT) compilation to pre-compute queries for repository interfaces that are then executed by a thin, lightweight runtime layer. Both GORM and Spring Data maintain a runtime meta-model that uses reflection to model relationships between entities. This model consumes significant memory and memory requirements grow as your application size grows. -
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Spring Data MongoDB
Provide support to increase developer productivity in Java
...The Spring Data MongoDB project provides integration with the MongoDB document database. Key functional areas of Spring Data MongoDB are a POJO-centric model for interacting with a MongoDB Document and easily writing a repository-style data access layer. You do not need to build from source to use Spring Data. Binaries are available in repo.spring.io and accessible from Maven using the Maven configuration noted. -
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. ... -
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atk4/data
Data Access PHP Framework for SQL & high-latency databases
ATK Data is a data persistence and modeling framework for PHP, developed as part of the Agile Toolkit. It provides a high-level abstraction for working with databases, making it easier to define and manipulate data models with minimal boilerplate code. It supports various SQL and NoSQL databases and integrates seamlessly with Agile UI and other PHP frameworks. -
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Profile Data
Analyze computation-communication overlap in V3/R1
profile-data is a repository that publishes profiling traces and metrics from DeepSeek’s training and inference infrastructure (especially during DeepSeek-V3 / R1 experiments). The profiling data targets insights into computation-communication overlap, pipeline scheduling (e.g. DualPipe), and how MoE / EP / parallelism strategies interact in real systems. The repository contains JSON trace files like train.json, prefill.json, decode.json, and associated assets. Users can load them into tools... -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. -
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10
Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. ... -
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sq data wrangler
sq data wrangler
sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). ... -
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Data Annotator for Machine Learning
Data annotator for machine learning
...Project tracking with real-time data aggregation and review process. User management panel with role-based access control. -
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browser-compat-data
This repository contains compatibility data for Web technologies
The browser-compat-data ("BCD") project contains machine-readable browser (and JavaScript runtime) compatibility data for Web technologies, such as Web APIs, JavaScript features, CSS properties, and more. Our goal is to document accurate compatibility data for Web technologies, so web developers may write cross-browser compatible websites more easily. BCD is used in web apps and software such as MDN Web Docs, CanIUse, Visual Studio Code, WebStorm and more. -
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SQLite.swift
A type-safe, Swift-language layer over SQLite3
SQLite.swift provides compile-time confidence in SQL statement syntax and intent. SQLite.swift provides a pure-Swift interface, a type-safe, optional-aware SQL expression builder. It also provides a flexible, chainable, lazy-executing query layer. Automatically-typed data access. A lightweight, uncomplicated query and parameter binding interface. Developer-friendly error handling and debugging. Full-text search support, well-documented, extensively tested. SQLCipher support via CocoaPods. Active support at StackOverflow, and Gitter Chat Room (experimental). SQLite.swift also works as a lightweight, Swift-friendly wrapper over the C API. ... -
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Cloudflare Tunnel Client
Cloudflare Tunnel Client
...Extensive documentation can be found in the Cloudflare Tunnel section of the Cloudflare Docs. All usages related with proxying to your origins are available under cloudflared tunnel help. You can also use cloudflared to access Tunnel origins (that are protected with cloudflared tunnel) for TCP traffic at Layer 4 (i.e., not HTTP/web socket), which is relevant for use cases such as SSH, RDP, etc. Such usages are available under cloudflared access help. -
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Wren Engine
The Semantic Engine for Model Context Protocol(MCP)
Wren Engine is a semantic engine designed to empower Model Context Protocol (MCP) clients and AI agents by providing accurate, contextual, and governed access to business data. It serves as a bridge between large language models (LLMs) and enterprise systems, facilitating seamless integration and interaction. -
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Testcontainers for PHP
Implementation for PHP
Testcontainers is a PHP package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The package is inspired by the Testcontainers project for Java. Use a containerized instance of your database to test your data access layer code for complete compatibility, without requiring a complex setup on developer machines. Trust that your tests will always start with a known state. Use containerized web browsers, compatible with Selenium, to run automated UI tests. Each test gets a fresh, clean instance of the browser, without having to worry about variations in plugins or required updates. ... -
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DynamoDB OneTable
DynamoDB access and management for one table designs with NodeJS
DynamoDB OneTable is an abstraction layer for AWS DynamoDB, simplifying schema design, data modeling, and query operations for serverless applications. -
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AmazonMSK AWS Identity Access Management
Use AWS Identity and (IAM) to connect to Amazon Managed Streaming
The Amazon MSK Library for AWS Identity and Access Management enables developers to use AWS Identity and Access Management (IAM) to connect to their Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters. It allows JVM-based Apache Kafka clients to use AWS IAM for authentication and authorization against Amazon MSK clusters that have AWS IAM enabled as an authentication mechanism. -
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Testcontainers
A library to support tests with throwaway instances of Docker
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container. Use a containerized instance of a MySQL, PostgreSQL or Oracle database to test your data access layer code for complete compatibility, but without requiring complex setup on developers' machines and safe in the knowledge that your tests will always start with a known DB state. Any other database type that can be containerized can also be used. For running your application in a short-lived test mode with dependencies, such as databases, message queues or web servers. ... -
21
QFramework
Unity3D System Design Architecture
...System layer: System layer. The ISystem interface helps IController undertake part of the logic, logic shared in multiple presentation layers, such as timing system, mall system, achievement system, etc. Data layer: Model layer. The IModel interface is responsible for the definition of data and the provision of methods for adding, deleting, checking and modifying data. -
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Testcontainers node
Supports tests, providing lightweight, throwaway instances of database
...Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your database to test your data access layer code for complete compatibility, without requiring a complex setup on developer machines. Trust that your tests will always start with a known state. Use containerized web browsers, compatible with Selenium, to run automated UI tests. Each test gets a fresh, clean instance of the browser, without having to worry about variations in plugins or required updates. -
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LWJGL
Java library that enables cross-platform access to popular native APIs
LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL, Vulkan), audio (OpenAL) and parallel computing (OpenCL) applications. This access is direct and high-performance, yet also wrapped in a type-safe and user-friendly layer, appropriate for the Java ecosystem. LWJGL is an enabling technology and provides low-level access. -
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ZMQ.jl
Julia interface to ZMQ
A Julia interface to ZeroMQ. ZMQ.jl is a Julia interface to ZeroMQ, The Intelligent Transport Layer. -
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Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live...
