Showing 1168 open source projects for "data capture framework"

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  • 1
    towhee

    towhee

    Framework that is dedicated to making neural data processing

    Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to...
    Downloads: 0 This Week
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  • 2
    Template Studio

    Template Studio

    Template Studio accelerates the creation of new WinUI 3, WPF, etc.

    Template Studio is a suite of Visual Studio 2022 extensions that accelerate the creation of new WinUI 3, WPF, and UWP apps using a wizard-based experience. Projects created with these extensions contain well-formed, readable code and incorporate the latest development features while implementing proven patterns and leading practices. The generated code includes links to documentation and TODO comments that provide useful insight and guidance for turning the generated projects into production...
    Downloads: 2 This Week
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  • 3
    OpenDDS

    OpenDDS

    OpenDDS is open source publish/subscribe middleware

    OpenDDS is an open source implementation of the Object Management Group (OMG) Data Distribution Service (DDS), providing a publish/subscribe middleware solution for real-time distributed systems. OpenDDS includes development and run-time tools. Full product information, source code, documentation, build instructions, and license information are available from http://www.opendds.org. Commercial consulting, support, and training for OpenDDS are available. OpenDDS is in production use...
    Downloads: 0 This Week
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  • 4
    LMAX Disruptor

    LMAX Disruptor

    High performance inter-thread messaging library

    ...Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are both extremely costly, so we created a framework which has "mechanical sympathy" for the hardware it’s running on, and that’s lock-free. ...
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    RegexLab .NET

    RegexLab .NET

    dev environment tool to write and test complex regular expressions

    RegexLab .NET is a rich-featured development environment and laboratory tool for creating, writing and editing complex regular expressions . It targets the .NET Framework and .NET Core (.NET 6, .NET 8) Regex Engine. Compared to other regex tools and lots of online regex testers this allows to store your regular expressions in local files including sample inputs for testing it. Use this tool build your own regex library with usage demonstration and meta data. This tool requires basic knowledge about regular expression. ...
    Downloads: 0 This Week
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  • 6
    AbstractFFTs.jl

    AbstractFFTs.jl

    A Julia framework for implementing FFTs

    A general framework for fast Fourier transforms (FFTs) in Julia. This package is mainly not intended to be used directly. Instead, developers of packages that implement FFTs (such as FFTW.jl or FastTransforms.jl) extend the types/functions defined in AbstractFFTs. This allows multiple FFT packages to co-exist with the same underlying fft(x) and plan_fft(x) interface.
    Downloads: 2 This Week
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  • 7
    ARWES

    ARWES

    Futuristic Sci-Fi UI Web Framework

    ...A node represents and interactive and stateful UI component with design, animations, and/or sound support. The nodes in a tree are interconnected with each other by inheriting data and communicating dynamically.
    Downloads: 1 This Week
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  • 8
    LangChain Apps on Production with Jina

    LangChain Apps on Production with Jina

    Langchain Apps on Production with Jina & FastAPI

    Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development.
    Downloads: 0 This Week
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  • 9
    JavaScript & Node.js Testing

    JavaScript & Node.js Testing

    Comprehensive and exhaustive JavaScript & Node.js testing

    ...The guide focuses on removing flakiness by isolating side effects, controlling randomness, and stabilizing async code paths. It also demonstrates test design techniques like arranging test data, using expressive assertions, and structuring test suites for readability and discoverability. Tooling agnosticism is a theme: patterns are illustrated with popular tools but written to survive framework churn. The end goal is a test suite that acts as living documentation while catching regressions quickly and deterministically.
    Downloads: 0 This Week
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  • 10

    Horizon

    a Java class library for database application development

    Horizon is a Java class library that helps developers write applications using relational database technology. You can use Horizon in plain old Java applications, Java EE applications, and Spring framework applications. And it also provides a JavaScript library to help write HTML pages using data from back-end components written using Horizon classes.
    Downloads: 0 This Week
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  • 11
    PicMo

    PicMo

    JavaScript emoji picker. Any app, any framework

    Plain JavaScript emoji picker. Any app, any framework. Use PicMo to add a rich emoji picker to any JavaScript project, regardless of the framework. Use the platform's native emojis, or cross-platform emojis from Twemoji. Even add your own custom emojis and GIFs. Search for emojis by name or tags. Customize sizing, layout, and UI elements. Emoji data is loaded once from a CDN and cached in the browser for subsequent sessions.
    Downloads: 1 This Week
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  • 12
    Input mask for iOS

    Input mask for iOS

    User input masking library repo

    Input masks restrict data input and allow you to guide users to enter correct values. Interface Builder struggles to support modules imported in a form of a dynamic framework. For instance, custom views annotated as IBDesignable, containing IBInspectable and IBOutlet fields aren't recognized properly from the drag'n'dropped framework. When you cut text, characters get deleted yet you won't be able to paste them somewhere as they aren't actually in your pasteboard. ...
    Downloads: 1 This Week
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  • 13
    fastMRI

    fastMRI

    A large open dataset + tools to speed up MRI scans using ML

    ...By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data loaders, subsampling utilities, reconstruction models, and evaluation metrics, supporting both research reproducibility and practical experimentation. It includes reference implementations for key MRI reconstruction architectures such as U-Net and Variational Networks (VarNet), along with example scripts for model training and evaluation using the PyTorch Lightning framework. ...
    Downloads: 0 This Week
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  • 14
    Horovod

    Horovod

    Distributed training framework for TensorFlow, Keras, PyTorch, etc.

    ...Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. Start scaling your model training with just a few lines of Python code. ...
    Downloads: 2 This Week
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  • 15

    DpdlScripting

    DPDL (Dynamic Packet Definition Language) is a small framework library

    Dpdl (Dynamic Packet Definition Language) is a constraint device framework and scripting engine that can be used to implement small, portable and light-weight applications on Java enabled devices (in particular J2ME and JavaME) and small embedded systems. It has been developed in 2002, in early days when mobile phones where running mostly J2ME applications. Dpdl is a compact framework, small memory footprint library and scripting engine that can be used to encode, decode, control and query data efficiently on limited memory devices. ...
    Downloads: 0 This Week
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  • 16
    iJEPA

    iJEPA

    Official codebase for I-JEPA

    ...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most.
    Downloads: 0 This Week
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  • 17
    FluentLenium

    FluentLenium

    FluentLenium is a web & mobile automation framework

    FluentLenium is a React-ready website automation framework that extends Selenium to write readable, reusable, reliable and resilient UI functional tests. It’s written and maintained by people who are automating browser-based tests on a daily basis. FluentLenium provides a Java-fluent interface to Selenium, and brings some magic to avoid common issues faced by Selenium users. FluentLenium is shipped with adapters for JUnit4, JUnit5, TestNG, Spock, Spring TestNG, Cucumber and Kotest, but it...
    Downloads: 0 This Week
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  • 18
    The HaskellR project

    The HaskellR project

    The full power of R in Haskell

    The HaskellR project provides an environment for efficiently processing data using Haskell or R code, interchangeably. HaskellR allows Haskell functions to seamlessly call R functions and vice versa. It provides the Haskell programmer with the full breadth of existing R libraries and extensions for numerical computation, statistical analysis and machine learning. Optionally, pass in the --nix flag to all commands if you have the Nix package manager installed. Nix can populate a local build...
    Downloads: 0 This Week
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  • 19
    The Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
    Downloads: 0 This Week
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  • 20
    AI-Agent-Host

    AI-Agent-Host

    The AI Agent Host is a module-based development environment.

    ...The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. ...
    Downloads: 0 This Week
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  • 21
    OpenCombine

    OpenCombine

    Open source implementation of Apple's Combine framework

    OpenCombine is an open-source implementation of Apple’s Combine framework, providing a reactive programming model for handling asynchronous data streams in Swift across multiple platforms. It replicates the core concepts of Combine, such as publishers, subscribers, and operators, enabling developers to process values over time in a declarative and composable way. One of its primary goals is compatibility, allowing developers to use Combine-like APIs on platforms where Apple’s official implementation is unavailable, including older Apple operating systems, Linux, Windows, and WebAssembly environments. ...
    Downloads: 0 This Week
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  • 22

    4WS Warp

    Development of extjs based rich web applications

    Warp is an open source framework that can be used to develop Java based applications, using Java and JEE5. It allows to develop Desktop Applications or 3 Tier Applications based on Swing extensions or Rich web applications based on ExtJS and JAX-RS (Restful web services). Business logic and data access tiers can be developed using JPA or JDBC and EJB 3 or any other Java based technology.
    Downloads: 4 This Week
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  • 23
    canvas-sketch

    canvas-sketch

    Framework for making generative artwork in JavaScript and the browser

    ...It integrates smoothly with modern JavaScript workflows and supports modular development patterns. The framework is commonly used in creative coding communities for sketches, data visualizations, and interactive installations. Overall, canvas-sketch serves as a productivity-focused foundation for browser-based visual experimentation and rapid iteration.
    Downloads: 0 This Week
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  • 24
    SASUnit

    SASUnit

    Unit testing for SAS(TM)-programs

    SASUnit is a unit testing framework for SAS(TM)-programs. It can be used for the development, execution and automatic documentation of tests for SAS programs. SASUnit is written purely on the basis of SAS macros and a few shell commands. There are two videos on YouTube: * Getting started: https://www.youtube.com/watch?v=Kc66hADHNyI * Usage of setup scripts: https://www.youtube.com/watch?v=9drW_6eg6G4 SASUnit is brought to you by HMS Analytical Software...
    Downloads: 0 This Week
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  • 25
    DIG

    DIG

    A library for graph deep learning research

    The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms.
    Downloads: 0 This Week
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