Search Results for "data capture framework" - Page 3
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570 projects for "data capture framework" with 2 filters applied:
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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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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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faster_react
Full Stack web framework with React + Faster
Faster React is a full-stack web framework built on React and Faster, designed for efficient development with automatic handling of routes, frontend bundling, and server-side rendering (SSR). It is fully compatible with Deno and serverless environments like Deno Deploy. The framework automatically detects changes, reloads components, and minifies frontend code for production. With Faster React, developers can focus on building applications while the framework handles essential backend and... -
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Mobly
E2E test framework for tests with complex environment requirements
Mobly is a Python-based test framework that specializes in supporting test cases that require multiple devices, complex environments, or custom hardware setups. P2P data transfer between two devices. Conference calls across three phones. Wearable device interacting with a phone. Internet-Of-Things devices interacting with each other. Testing RF characteristics of devices with special equipment. -
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EFCore.BulkExtensions
Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy
EFCore.BulkExtensions is a high-performance extension library for Entity Framework Core that provides bulk operations like insert, update, delete, and read. It significantly improves performance when working with large datasets and supports batching, upserts, and change tracking. The library is compatible with popular databases like SQL Server, PostgreSQL, MySQL, and SQLite. -
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X-Crawl
Flexible Node.js AI-assisted crawler library
A high-performance web crawling and scraping framework for Node.js, designed for large-scale data extraction. -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high... -
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Drogon
Drogon: A C++14/17/20 based HTTP web application framework
...Provide a completely asynchronous programming mode. Support Http1.0/1.1 (server side and client side). Based on the template, a simple reflection mechanism is implemented to completely decouple the main program framework, controllers, and views. Support cookies and built-in sessions. Support back-end rendering, the controller generates the data to the view to generate the Html page. -
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Ts.ED
Ts.ED is a Node.js and TypeScript framework on top of Express
Ts.ED is a Node.js and TypeScript Framework on top of Express/Koa.js. Ts.ED is a framework on top of Express/Koa to write your application with TypeScript (or ES6). It provides a lot of decorators and guidelines to make your code more readable and less error-prone. Create your Rest API easily and create different version paths of your API compliant with OpenSpec and JsonSchema. Don't waste your time with configuration, the server is preconfigured to start quickly. Choose between different... -
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Catlab.jl
A framework for applied category theory in the Julia language
...First and foremost, Catlab provides data structures, algorithms, and serialization for applied category theory. Macros offer a convenient syntax for specifying categorical doctrines and type-safe symbolic manipulation systems. Wiring diagrams (aka string diagrams) are supported through specialized data structures and can be serialized to and from GraphML (an XML-based format) and JSON. -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
nuwa-skill is an AI-oriented project focused on defining, managing, and executing modular “skills” that can be used by intelligent agents or automation systems. It provides a framework for organizing capabilities into reusable units that can be invoked dynamically depending on context or user input. The project is designed to integrate with AI systems, enabling them to perform structured tasks such as data retrieval, processing, or interaction with external services. It emphasizes modularity and extensibility, allowing developers to create new skills and plug them into the system without disrupting existing functionality. ... -
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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Nuxt
The Intuitive Vue Framework
Nuxt is a free, open‑source framework built on Vue.js that streamlines the development of type‑safe, high-performance full‑stack web applications and static sites, with an emphasis on developer experience, modularity, and extensibility. Simple, intuitive and powerful, Nuxt lets you write Vue components in a way that makes sense. Every repetitive task is automated, so you can focus on writing your full-stack Vue application with confidence. We highly recommend you take a look at the Nuxt... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. ... -
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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LLPhant
A comprehensive PHP Generative AI Framework
...The framework focuses on usability by offering straightforward APIs for tasks like embeddings, question answering, and vector search, which are commonly required in real-world applications. It includes support for vector stores, enabling developers to build retrieval-augmented generation systems using structured or unstructured data. LLPhant also allows integration with external services and tools, making it possible to extend model capabilities beyond text generation into actionable workflows. -
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Laravel Shopping Cart
Shopping Cart Implementation for Laravel Framework
A Shopping Cart Implementation for Laravel Framework. By default, the cart has a default sessionKey that holds the cart data. This also serves as a cart unique identifier which you can use to bind a cart to a specific user. -
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mobx-backend
Backend framework designed to streamline the development of apps
mobx-backend is a backend framework designed to streamline the development of scalable server-side applications using modern JavaScript practices. It provides a structured approach to building APIs and services, focusing on modularity and maintainability. The framework includes built-in support for common backend concerns such as routing, data handling, and service organization. -
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PartiQL Lang Kotlin
PartiQL libraries and tools in Kotlin.
This is a Kotlin implementation of the PartiQL specification. PartiQL is based on SQL-92 and has added support for working with schemaless hierarchical data. PartiQL’s extensions to SQL are easy to understand, treat nested data as first-class citizens, and compose seamlessly with each other and SQL. This repository contains an embeddable reference interpreter, test framework, and tests for PartiQL in Kotlin. -
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Ash
A declarative, extensible framework for building Elixir applications
Ash is a declarative framework for building resource-oriented apps in Elixir. It emphasizes composability, DSL-driven definitions of resources/actions/relationships, and extensibility through plugins for API, database, and UI layers. -
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IonPhaser
A web component to use Phaser Framework with Angular, React, Vue, etc.
ion-phaser is a web component that integrates the Phaser game framework with modern frontend frameworks like Angular, React, and Vue. It allows embedding Phaser games as components in modern SPAs with reactive data-binding. -
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Themis
Easy to use cryptographic framework for data protection
Cross-platform high-level cryptographic library. Themis helps to build simple and complex cryptographic features easily, quickly, and securely. It’s a perfect fit for multi-platform apps. Themis hides cryptographic details and eliminates popular mistakes. Themis provides ready-made building blocks (“cryptosystems”) for secure data storage, message exchange, socket connections, and authentication. Secure Cell is a multi-mode cryptographic container suitable for storing anything from encrypted... -
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GeoStats.jl
An extensible framework for geospatial data science
GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
EasyR1 is a streamlined training framework for building “R1-style” reasoning models from open-source LLMs with minimal boilerplate. It focuses on the full reasoning stack—data preparation, supervised fine-tuning, preference or outcome-based optimization, and lightweight evaluation—so you can iterate quickly on chain-of-thought–heavy tasks. The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments without wrestling infrastructure. ... -
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Hanami
A flexible framework for maintainable Ruby apps
Hanami is a modern Ruby web framework that aims to be lightweight, fast, and modular, in contrast to the monolithic design of Rails. It emphasizes separation of concerns, encouraging developers to structure applications into clear layers of controllers, views, entities, and repositories. Each component—like the router, model layer, or view rendering engine—can be used independently, which gives developers flexibility to build lean applications. Hanami promotes immutability, plain old Ruby... -
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Kodus
AI code reviews, just like your senior dev would do
Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. -
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Symfony Validator
Provides tools to validate values
Symfony Validator is a PHP component designed to validate data structures using a flexible and extensible validation framework. It supports a wide range of built-in validation constraints and allows developers to create custom validation rules. The Validator component is commonly used for form validation, data integrity checks, and input sanitation, integrating seamlessly with Symfony applications. -
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NiceGUI
Create web-based user interfaces with Python
NiceGUI is a Python-based UI framework that enables developers to create interactive web applications using only Python code. It abstracts away the complexities of HTML, CSS, and JavaScript, allowing for rapid development of web interfaces directly from Python scripts. NiceGUI is suitable for building dashboards, control panels, and other web-based tools, especially in contexts like robotics and data visualization.
