Search Results for "data capture framework" - Page 30
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Showing 2572 open source projects for "data capture framework"
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Project Hestia
A grid-based, modular dashboard built entirely from HTML, CSS, and JS
...It supports microservices communication patterns, event-driven data flows, and pluggable components that make it adaptable to various workloads — from internal APIs to high-traffic public endpoints. The platform also includes abstractions for database connectivity, configuration management, and service discovery, making it easier to build fault-tolerant and observable systems. -
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Metalsmith
An extremely simple, pluggable static site generator for Node.js
An extremely simple, pluggable static site generator for NodeJS. Metalsmith works with all the tools and data formats you already know and use: NodeJS, npm, markdown, json, yaml and the templating language of your choice. Metalsmith translates a directory tree to plain Javascript objects that you can manipulate effortlessly with your selection of plugins. You shouldn't have to bend your project needs to a specific framework or tool. Metalsmith gives you full control of how you want to conceptualize, structure, and build your project. ... -
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spring-cloud-gateway
A Gateway built on Spring Framework and Spring Boot
Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems (e.g. configuration management, service discovery, circuit breakers, intelligent routing, micro-proxy, control bus, one-time tokens, global locks, leadership election, distributed sessions, cluster state). Coordination of distributed systems leads to boiler plate patterns, and using Spring Cloud developers can quickly stand up services and applications that implement those patterns.... -
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PowerJob
Enterprise job scheduling middleware with distributed computing
...Four execution modes are supported, including stand-alone, broadcast, Map and MapReduce. Distributed computing resources could be utilized in MapReduce mode, try the magic out here! Both job dependency management and data communications between jobs are supported. Developers can write their processors in Java, Shell, Python, and will subsequently support multilingual scheduling via HTTP. -
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LiteNetLib 1.0 indev
Lite reliable UDP library for Mono and .NET
Lite reliable UDP library for .NET Framework 3.5, Mono, .NET Core 2.0, .NET Standard 2.0. Small packet size overhead (1 byte for unreliable, 3 bytes for reliable packets). Helper classes for sending and reading messages. Always use library sources instead of precompiled DLL files (because there are platform-specific #ifdefs and workarounds for unity bugs). Fast packet serializer (Usage manual). Automatic small packets merging. Automatic fragmentation of reliable packets. Automatic MTU... -
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LongWriter
Unleashing 10,000+ Word Generation from Long Context LLMs
LongWriter is an open-source framework and set of large language models designed to enable ultra-long text generation that can exceed 10,000 words while maintaining coherence and structure. Traditional large language models can process large inputs but often struggle to generate long outputs due to limitations in training data and alignment strategies. LongWriter addresses this challenge by introducing a specialized dataset and training approach that encourages models to produce longer responses. ... -
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HunyuanWorld-Voyager
RGBD video generation model conditioned on camera input
HunyuanWorld-Voyager is a next-generation video diffusion framework developed by Tencent-Hunyuan for generating world-consistent 3D scene videos from a single input image. By leveraging user-defined camera paths, it enables immersive scene exploration and supports controllable video synthesis with high realism. The system jointly produces aligned RGB and depth video sequences, making it directly applicable to 3D reconstruction tasks. -
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Apollo Angular
A fully-featured, production ready caching GraphQL client
Apollo Angular allows you to fetch data from your GraphQL server and use it in building complex and reactive UIs using the Angular framework. Apollo Angular may be used in any context that Angular may be used. In the browser, in NativeScript, or in Node.js when you want to do server-side rendering. Apollo Angular requires no complex build setup to get up and running. As long as you have a GraphQL server you can get started building out your application with Angular immediately. ... -
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VitalSignsCapture
Download data from medical device interfaces in ICU & Anaesthesia
A C# .NET app to download or capture data from several medical device interfaces such as Datex AS3 S/5 Anesthesia, Philips Intellivue, GE Dash, Mindray HL7, Spacelabs, Draeger Infinity, Draeger HL7 patient monitors, GE Engstrom, Draeger (MedibusX), Maquet (Servo-i, Servo-U & Flow-i), Puritan Bennett ventilators, Covidien BIS Vista cerebral monitor, Fresenius Agilia, Alaris Carefusion, BBraun Spacecom syringe and volumetric pumps, Roche Cobas ASTM ABG analyzers. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Vue Admin Better
Vue admin, vue3 admin, vue3.0 admin
...More than 50 global configuration options cover layouts, themes, behavior, and application preferences. Its Axios layer supports multiple data sources, several success codes, and different request formats. Development tooling includes mock generation, ESLint fixes, SCSS organization, RSA login encryption, error logging, and optimized Rspack builds. -
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Reshaped
Professionally crafted React & Figma components
...It is designed to help teams build scalable, consistent user interfaces by providing a shared source of truth between designers and developers. The library includes a wide range of production-ready components, from basic inputs and buttons to more complex elements such as tables, calendars, and data visualization tools. A key strength of Reshaped is its emphasis on accessibility, responsiveness, and theming, ensuring that interfaces meet modern usability standards while remaining adaptable to different product needs. The project is structured into multiple packages, including styled components, headless components, and framework-agnostic utilities, allowing developers to choose the level of abstraction that best fits their workflow. -
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VLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs)
VLMEvalKit is an open-source evaluation toolkit designed for benchmarking large vision-language models that combine visual understanding with natural language reasoning. The toolkit provides a unified framework that allows researchers and developers to evaluate multimodal models across a wide range of datasets and standardized benchmarks with minimal setup. Instead of requiring complex data preparation pipelines or multiple repositories for each benchmark, the system enables evaluation through simple commands that automatically handle dataset loading, model inference, and metric computation. ... -
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Aleph
Asynchronous streaming communication for Clojure
Aleph is an asynchronous I/O framework for Clojure built atop Netty, offering efficient, non-blocking network programming with support for HTTP, raw TCP/UDP, and streaming through Manifold streams. Aleph follows the Ring spec fully and can be a drop-in replacement for any existing Ring-compliant server. However, it also allows for the handler function to return a Manifold deferred to represent an eventual response. This feature may not play nicely with synchronous Ring middleware, which... -
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SQUEEZER
Squeezer framework, build serverless dApps
Squeezer is a platform that empowers new-entry blockchain developers to build serverless dApps simply as dead. The main usage of the ChainKit is to unify top blockchains interfaces into a single normalized API interface, therefore you can build blockchain dApps easily without digging into blockchain complex infrastructure. Bi-directional on-chain transactions (inbound and outbound). Build dApps connecting to smart contracts using chain kit agnostic connector. Quick intuitive code deployments... -
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Apache Flink
Stream processing framework with powerful stream
Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level... -
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Nanocoder
A beautiful local-first coding agent running in your terminal
Nanocoder is an open-source, local-first coding assistant that runs in the command line and allows developers to use AI models to assist with programming tasks directly from their terminal environment. The tool is designed as a privacy-focused alternative to proprietary AI coding assistants, allowing users to run local models or connect to external APIs while keeping full control over their data and development workflow. Built with TypeScript and distributed as a CLI application, nanocoder... -
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PyTorch/XLA
Enabling PyTorch on Google TPU
PyTorch/XLA is a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. You can try it right now, for free, on a single Cloud TPU with Google Colab, and use it in production and on Cloud TPU Pods with Google Cloud. Take a look at one of our Colab notebooks to quickly try different PyTorch networks running on Cloud TPUs and learn how to use Cloud TPUs as PyTorch devices. We are also introducing new TPU VMs for more transparent... -
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Medusa Next.js Starter Template
A performant frontend ecommerce starter template with Next.js
...The template includes a preconfigured setup with technologies such as TypeScript and Tailwind CSS, allowing developers to customize styling and user experience while retaining a production-ready foundation. It also takes advantage of the latest Next.js features such as the App Router, server components, and modern data-fetching mechanisms to improve performance and maintainability. -
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DreamerV3
Mastering Diverse Domains through World Models
...The system works by building an internal model of the environment and then using that model to simulate possible future outcomes of actions, allowing the agent to learn from imagined experiences rather than only from real interactions. This approach enables the algorithm to efficiently learn policies for decision-making tasks that would otherwise require enormous amounts of data or computational resources. DreamerV3 was designed as a general reinforcement learning framework that can solve diverse tasks using the same configuration of hyperparameters across many environments. In research demonstrations, the algorithm has been shown to perform strongly across more than one hundred control tasks and complex simulated environments. -
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Magicoder
Empowering Code Generation with OSS-Instruct
Magicoder is an open-source family of large language models designed specifically for code generation and software development tasks. The project focuses on improving the quality and diversity of code generation by training models with a novel dataset construction approach known as OSS-Instruct. This technique uses open-source code repositories as a foundation for generating more realistic and diverse instruction datasets for training language models. By grounding training data in real... -
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Agent Lightning
The absolute trainer to light up AI agents
...Agent-Lightning introduces a lightweight training pipeline that observes agents’ execution traces, converts them into structured data, and feeds them into training algorithms, enabling users to improve agent behaviors systematically. The project emphasizes minimalist integration, so you can drop this into existing systems without extensive rewrites, focusing instead on iterative performance improvement. -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. ... -
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mlr3
mlr3: Machine Learning in R - next generation
mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via... -
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Chronicle Queue
Micro second messaging that stores everything to disk
Micro second messaging that stores everything to disk. With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python API. All versions are fully binary compatible. -
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Perception Models
State-of-the-art Image & Video CLIP, Multimodal Large Language Models
Perception Models is a state-of-the-art framework developed by Facebook Research for advanced image and video perception tasks. It introduces two primary components: the Perception Encoder (PE) for visual feature extraction and the Perception Language Model (PLM) for multimodal decoding and reasoning. The PE module is a family of vision encoders designed to excel in image and video understanding, surpassing models like SigLIP2, InternVideo2, and DINOv2 across multiple benchmarks. ...
