Search Results for "data capture framework" - Page 16
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Showing 2572 open source projects for "data capture framework"
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Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. ... -
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Prefect
Prefect is a workflow orchestration framework
Prefect is an open-source modern workflow orchestration tool for scheduling, monitoring, and managing data workflows and tasks. It enables Python-native pipeline definitions with robust retries, caching, observability, and a powerful UI—ideal for data engineering and ETL processes. -
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fast-check
Property based testing framework for JavaScript
A property-based testing library for JavaScript, Fast-Check generates test cases to identify edge cases and unexpected behavior. -
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Ultimate React Course
https://github.com/jonasschmedtmann/ultimate-react-course
...It provides starter files, final project code, and FAQs that support a complete React learning path from fundamentals to more advanced application patterns. The course materials cover modern React development with components, props, state, effects, forms, routing, data fetching, state management, and larger real-world projects. Learners can begin each section from starter code, then compare their work against the final implementation when debugging or reviewing concepts. The repository is primarily an educational companion rather than a reusable app framework. It is useful for students who want a structured React practice environment with many examples built exactly as shown in the course. -
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QueryList
Progressive PHP web crawler framework with jQuery-like DOM parsing
QueryList is an extensible PHP web scraping and crawling framework designed to extract and process data from web pages. It provides a simple and expressive API that allows developers to collect structured information from HTML documents using familiar DOM traversal techniques. It is built on top of phpQuery and uses CSS3 selectors similar to those found in jQuery, making it easy for developers to query and manipulate page elements during scraping tasks. -
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Plano
Delivery infrastructure for agentic apps
Plano is an AI-native proxy and data plane designed to simplify the infrastructure required to deploy and operate agentic applications in production environments. It removes repetitive plumbing work from application code by centralizing capabilities such as agent routing, orchestration, guardrails, observability, and model selection. Built on modern proxy technology and compatible with any language or AI framework, Plano enables developers to focus on core agent logic instead of infrastructure complexity. ... -
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jQWidgets
Angular, Vue, React, Web Components, Blazor, Javascript, jQuery, etc.
...You can use jQWidgets with TypeScript, popular frameworks like Angular, Vue, React, and server-side technologies like ASP.NET MVC, PHP, JSP, and Node.js. jQWidgets is a feature complete framework with professional touch-enabled Javascript components, themes, input validation, drag & drop plug-ins, data adapters, built-in WAI-ARIA accessibility, internationalization and MVVM support. -
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MyBatis
MyBatis SQL mapper framework for Java
MyBatis is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. MyBatis eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. MyBatis can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records. Every MyBatis application centers around an instance of SqlSessionFactory. A SqlSessionFactory instance can be... -
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SetFit
Efficient few-shot learning with Sentence Transformers
SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples. -
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AtomAI
Deep and Machine Learning for Microscopy
...Ultimately, it aims to combine the power and flexibility of the PyTorch deep learning framework and the simplicity and intuitive nature of packages such as scikit-learn, with a focus on scientific data. -
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MetaGPT
The Multi-Agent Framework
The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo. Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one-line requirement as input and outputs user stories / competitive analysis/requirements/data structures / APIs / documents, etc. Internally, MetaGPT includes product managers/architects/project managers/engineers. -
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Laravel Telescope
An elegant debug assistant for the Laravel framework
Laravel Telescope makes a wonderful companion to your local Laravel development environment. Telescope provides insight into the requests coming into your application, exceptions, log entries, database queries, queued jobs, mail, notifications, cache operations, scheduled tasks, variable dumps, and more. After installing Telescope, publish its assets using the telescope:install Artisan command. After installing Telescope, you should also run the migrate command in order to create the tables... -
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Crypto Trading Bot
Cryptocurrency trading bot in javascript for Bitfinex
...It aims to go beyond basic buy-and-sell signal bots by supporting more practical trading mechanics such as stop-loss or stop-limit-style behavior where available. The project is explicitly not production-ready, so it should be treated as an educational and experimental trading framework rather than a safe financial automation system. It is useful for developers learning algorithmic trading architecture, exchange APIs, market data handling, and strategy testing. -
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mlforecast
Scalable machine learning for time series forecasting
mlforecast is a time-series forecasting framework built around machine-learning models, designed to make forecasting both efficient and scalable. It lets you apply any regressor that follows the typical scikit-learn API, for example, gradient-boosted trees or linear models, to time-series data by automating much of the messy feature engineering and data preparation. Instead of writing custom code to build lagged features, rolling statistics, and date-based predictors, mlforecast generates those automatically based on a simple configuration. ... -
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Doctor Dok
Doctor Dok is an AI based medical data framework
Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history -... -
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fastn
(Alpha stage software) fastn - Full-stack Web Development Made Easy
ftd is a programming language for building user interfaces and content-centric websites. ftd is easy to learn, especially for nonprogrammers, but it does not compromise on what you can build with it. fastn is a web framework, a content management system, and an integrated development environment for ftd. fastn is a web server, that compiles ftd to HTML/CSS/JS and can be deployed on your server, or on fastn cloud by FifthTry. ftd is designed with minimal and uniform syntax, and at first... -
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Hurl
Hurl, run and test HTTP requests with plain text
Hurl is a command line tool that runs HTTP requests defined in a simple plain text format. It can chain requests, capture values and evaluate queries on headers and body responses. Hurl is very versatile: it can be used for both fetching data and testing HTTP sessions. Hurl makes it easy to work with HTML content, REST / SOAP / GraphQL APIs, or any other XML / JSON-based APIs. Hurl can run HTTP requests but can also be used to test HTTP responses. -
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Windows Presentation Foundation (WPF)
Framework for building Windows desktop applications
Windows Presentation Foundation (WPF) is a UI framework for building Windows desktop applications. WPF supports a broad set of application development features, including an application model, resources, controls, graphics, layout, data binding and documents. WPF uses the Extensible Application Markup Language (XAML) to provide a declarative model for application programming. WPF applications are based on a vector graphics architecture. -
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NagaAgent
A simple yet powerful agent framework for personal assistants
NagaAgent is an experimental framework for building interactive virtual agents capable of autonomous reasoning, dialog, and task execution using components that mirror human cognitive patterns. It provides abstractions for representing goals, context, and state so that agents can plan sequences of actions, evaluate outcomes, and adjust behavior over time. The project includes mechanisms for semantic memory, reasoning pipelines, and integration points with external data sources and language models so that agents can interpret natural language instructions and produce coherent multi-step outputs. ... -
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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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Arkflow
High performance Rust stream processing engine
Arkflow is a Rust-based framework for building reactive, event-driven data pipelines. Inspired by tools like Airflow and Dagster, it focuses on strong typing, modularity, and performance. Arkflow is ideal for developers who want a fast, extensible way to orchestrate workflows and data transformations in Rust. -
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HttpKernel Component
A structured process for converting a Request into a Response
The HttpKernel component provides a structured process for converting a Request into a Response by making use of the EventDispatcher component. It's flexible enough to create full-stack frameworks, micro-frameworks or advanced CMS systems like Drupal. Every HTTP web interaction begins with a request and ends with a response. Your job as a developer is to create PHP code that reads the request information (e.g. the URL) and creates and returns a response (e.g. an HTML page or JSON string).... -
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DeepProve
Framework to prove inference of ML models blazingly fast
...This makes it viable for real-world applications in industries like healthcare, finance, and blockchain, where sensitive data must remain confidential. -
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OWASP Maryam
Modular OSINT framework for automated open-source intelligence gatheri
Maryam is an open source intelligence (OSINT) framework designed to automate the process of gathering and analyzing publicly available information from the internet. It provides a modular environment that enables users to collect data from search engines, open data sources, and various online services for reconnaissance and investigative purposes. Written in Python, Maryam is built to provide a flexible and extensible framework for harvesting information quickly and efficiently from open sources. ... -
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Datumaro
Dataset Management Framework, a Python library and a CLI tool to build
Datumaro is a flexible Python-based dataset management framework and command-line tool for building, analyzing, transforming, and converting computer vision datasets in many popular formats. It supports importing and exporting annotations and images across a wide variety of standards like COCO, PASCAL VOC, YOLO, ImageNet, Cityscapes, and many more, enabling easy integration with different training pipelines and tools.
