Search Results for "data capture framework" - Page 35
Sort By:
Showing 2278 open source projects for "data capture framework"
View related business solutions-
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
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.
-
1
Sails
The MVC framework for Node.js
Build custom, enterprise-grade Node.js apps with Sails! Sails.js is a web framework designed to make building practical, production-ready Node.js apps fast and easy. It is the most popular MVC framework for Node.js, resembling the MVC pattern of frameworks like Ruby on Rails but with support for the requirements of modern apps, such as a data-driven API with a scalable, service-oriented architecture. Sails is compatible with any front-end as well as any database thanks to its powerful ORM Waterline. ... -
2
Rocket
A web framework for Rust
...Simply derive Deserialize or Serialize to receive or return JSON, respectively. Like other important features, JSON works through Rocket’s FromData trait, Rocket’s approach to deriving types from body data. It works like this: specify a data route parameter of any type that implements FromData. A value of that type will then be created automatically from the incoming request body. -
3
Athena Java
Java Backend Knowledge Graph
Athena is a Chinese-language Java backend knowledge map designed to help beginners build a broad and organized technical foundation. It collects articles, interview notes, tutorials, summaries, diagrams, and practical examples rather than providing one executable application. Core coverage includes Java fundamentals, collections, concurrency, the JVM, Spring, MyBatis, Hibernate, JDBC, MySQL, Redis, and message queues. It also introduces data structures, algorithms, Linux, computer networks,... -
4
Framework that aims to get high productivity in enterprise software development. It uses a layer application division model, implementing some design patterns. It also allows the development of n-tier applications with data access technology independ
-
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.
-
5
code-act
Official Repo for ICML 2024 paper
...This approach helps unify reasoning and action planning within large language model agents by using code as the primary interface between the model and the external world. The framework also includes training data, models, and evaluation tools designed to study how language models can become more capable autonomous agents. -
6
Featuretools
An open source python library for automated feature engineering
An open source Python framework for automated feature engineering. Featuretools automatically creates features from temporal and relational datasets. Featuretools uses DFS for automated feature engineering. You can combine your raw data with what you know about your data to build meaningful features for machine learning and predictive modeling. Featuretools provides APIs to ensure only valid data is used for calculations, keeping your feature vectors safe from common label leakage problems. ... -
7
Evals
Evals is a framework for evaluating LLMs and LLM systems
The openai/evals repository is a framework and registry for evaluating large language models and systems built with LLMs. It’s designed to let you define “evals” (evaluation tasks) in a structured way and run them against different models or agents, with the ability to score, compare, and analyze results. The framework supports templated YAML eval definitions, solver-based evaluations, custom metrics, and composition of multi-step evaluations. -
8
Fondant
Production-ready data processing made easy and shareable
Fondant is a modular, pipeline-based framework designed to simplify the preparation of large-scale datasets for training machine learning models, especially foundation models. It offers an end-to-end system for ingesting raw data, applying transformations, filtering, and formatting outputs—all while remaining scalable and traceable. Fondant is designed with reproducibility in mind and supports containerized steps using Docker, making it easy to share and reuse data processing components. ... -
9
ObjectMapper
Simple JSON Object mapping written in Swift
ObjectMapper is a framework written in Swift that makes it easy for you to convert your model objects (classes and structs) to and from JSON. Once your class implements Mappable, ObjectMapper allows you to easily convert to and from JSON. Use functions to validate JSON prior to object serialization provide an existing cached object to be used for mapping, return an object of another type (which also conforms to BaseMappable) to be used for mapping. For instance, you may inspect the JSON to... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
10
InternVL
A Pioneering Open-Source Alternative to GPT-4o
...The project focuses on scaling vision models and aligning them with large language models so that they can perform tasks involving both visual and textual information. InternVL is trained on massive collections of image-text data, enabling it to learn representations that capture both visual patterns and semantic meaning. The model supports a wide variety of tasks, including visual perception, image classification, and cross-modal retrieval between images and text. It can also be connected to language models to enable conversational interfaces that understand images, videos, and other visual content. ... -
11
Qvid
Stream low latency video from your desktop or webcam over TCP/IP
Qvid is a demo video streaming application for Windows (MacOs support limited and currently broken), written in Python. It allows you to capture screenshots of your desktop, webcam, and selected windows programs. The captured images are compressed and sent as a continuous stream over a TCP connection to a single machine. Developed alongside https://sourceforge.net/projects/netjoy/ to allow for off-site, single and multiplayer, game play over an internet connection. -
12
Skeet
What...? Skeet is evolving to SLV
Skeet is an open source framework designed for building scalable serverless applications with Firebase, Google Cloud, and GraphQL. -
13
Adeus
An open source AI wearable device that captures what you say
Adeus is an experimental open-source framework focused on building autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. The project explores the concept of agent-based AI systems that can break down objectives into smaller steps, execute them sequentially, and adapt based on intermediate results. It provides a structured environment for orchestrating workflows that involve multiple actions, such as retrieving data, generating content, or interacting with external tools. ... -
14
dude uncomplicated data extraction
dude uncomplicated data extraction: A simple framework
Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command. -
15
spider_collection
Collection of Python web scraping scripts for data extraction tasks
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. ... -
16
Vanilla JS Projects
Course with Vanilla JS Projects
JavaScript Basic Projects is a collection of small applications for practicing browser programming with vanilla JavaScript. The repository contains 29 projects that progress from simple interface interactions to larger applications using external data. Early exercises cover counters, navigation bars, modals, tabs, menus, sliders, and countdown timers. Later examples introduce object-oriented programming, filtering, pagination, dark mode, and dynamic product interfaces. API-oriented projects work with jokes, users, cocktails, Wikipedia content, and other remote data sources. Each project provides a focused environment for learning DOM manipulation, events, application state, and JavaScript logic without a front-end framework. ... -
17
Canopy
Retrieval Augmented Generation (RAG) framework
Canopy is an open-source retrieval-augmented generation (RAG) framework developed by Pinecone to simplify the process of building applications that combine large language models with external knowledge sources. The system provides a complete pipeline for transforming raw text data into searchable embeddings, storing them in a vector database, and retrieving relevant context for language model responses. -
18
TaskWeaver
A code-first agent framework for seamlessly planning analytics tasks
TaskWeaver is a multi-agent AI framework designed for orchestrating autonomous agents that collaborate to complete complex tasks. -
19
Transformers in Time Series
A professionally curated list of awesome resources
...It compiles literature from major conferences and journals and categorizes them by application domains such as forecasting, anomaly detection, and classification. The repository also provides a taxonomy that helps researchers understand different architectural variations of transformers designed for time series data. These models are particularly important because transformers can capture long-range dependencies in sequential data, which makes them well suited for complex temporal patterns in real-world datasets. -
20
Evilginx 3.0
Standalone man-in-the-middle attack framework
Evilginx 3.0 is a standalone security-testing framework that demonstrates reverse-proxy phishing attacks against modern web authentication systems. It sits between a browser and a legitimate service to study how credentials and authenticated session data can be intercepted in adversary-in-the-middle scenarios. Because session tokens can remain valid after multifactor authentication, the project highlights limitations of some traditional 2FA deployments. -
21
D3
Bring data to life with SVG, Canvas and HTML
D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation. D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. ... -
22
higgsfield
Fault-tolerant, highly scalable GPU orchestration
Higgsfield is an open-source, fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs). -
23
SendGrid C#
The Twilio SendGrid C# API Library
Leverage the email service that customer-first brands trust for reliable inbox delivery at scale. This library allows you to quickly and easily use the Twilio SendGrid Web API v3 via C#. Manage your Twilio SendGrid API Keys by storing them in Environment Variables or in Web. It is a good practice to keep your data and configuration settings separate. This way you can change your Twilio SendGrid API key without changing your code. Also, we strongly advise against storing sensitive data... -
24
Blazor Boilerplate
Blazor Boilerplate / Starter Template with MudBlazor
Blazor is a web framework designed to run in the browser on a WebAssembly-based .NET runtime. Blazor Boilerplate aka Blazor Starter Template is a SPA admin template that is able to run both WebAssembly (Core-Hosted) and Server-Side Blazor with a .NET Core 6.0 Server. The default mode for BB is Server Side. To switch to Webassembly log in as Admin and go to settings. -
25
LangChain Extract
Did you say you like data?
LangChain Extract is an open-source reference application designed to demonstrate how large language models can be used to extract structured data from unstructured text and document files. The project implements a lightweight web service that allows developers to define extraction schemas and apply them to various sources such as plain text, HTML, or PDF documents. Built using FastAPI and the LangChain framework, the application exposes a REST API that can process documents and return structured outputs that match user-defined JSON schemas. ...
