Search Results for "data capture framework" - Page 3
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Showing 151 open source projects for "data capture framework"
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PyOpenCL
OpenCL integration for Python, plus shiny features
PyOpenCL is a Python wrapper for the OpenCL framework, providing seamless access to parallel computing on CPUs, GPUs, and other accelerators. It enables developers to harness the full power of heterogeneous computing directly from Python, combining Python’s ease of use with the performance benefits of OpenCL. PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration. -
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ProbabilisticCircuits.jl
Probabilistic Circuits from the Juice library
This module provides a Julia implementation of Probabilistic Circuits (PCs), tools to learn structure and parameters of PCs from data, and tools to do tractable exact inference with them. Probabilistic Circuits provides a unifying framework for several family of tractable probabilistic models. PCs are represented as computational graphs that define a joint probability distribution as recursive mixtures (sum units) and factorizations (product units) of simpler distributions (input units). ... -
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Logbook
An extensible Java library for HTTP request and response logging
Logbook is an extensible Java library to enable complete request and response logging for different client- and server-side technologies. It satisfies a special need by a) allowing web application developers to log any HTTP traffic that an application receives or sends b) in a way that makes it easy to persist and analyze it later. This can be useful for traditional log analysis, meeting audit requirements or investigating individual historic traffic issues. Logbook is ready to use out of... -
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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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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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Element Plus
A Vue.js 3 UI Library made by Element team
Element Plus is a comprehensive UI component library for Vue 3 that provides a wide range of pre-built, production-ready interface elements designed to accelerate web application development. It is the successor to the widely used Element UI framework and has been fully rewritten in TypeScript to take advantage of Vue 3’s Composition API and modern tooling. The library offers a cohesive design system along with a large collection of components such as forms, tables, navigation elements, and data visualization tools, enabling developers to build complex interfaces efficiently. ... -
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Elixir Companies
A list of companies currently using Elixir in production
elixir-companies is a community-maintained directory of organizations that use Elixir in production. It serves both as a discovery tool for developers curious about who is adopting the language and as a hiring signal for companies wishing to reach the Elixir community. The site categorizes entries by region, industry, and hiring status, making it easy to browse or filter by interests and location. Contributions are handled publicly via pull requests, with maintainers reviewing updates to... -
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factory_bot
A library for setting up Ruby objects as test data
factory_bot is a fixtures replacement with a straightforward definition syntax, support for multiple build strategies (saved instances, unsaved instances, attribute hashes, and stubbed objects), and support for multiple factories for the same class (user, admin_user, and so on), including factory inheritance. factory_bot provides a framework and DSL for defining and using factories - less error-prone, more explicit, and all-around easier to work with than fixtures. Each factory has a name... -
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Phlex
Object-oriented views in Ruby
Phlex is a Ruby-based framework for building HTML and SVG views using object-oriented programming principles, offering a unique alternative to traditional template systems like ERB. It allows developers to write UI components entirely in Ruby, providing full control over structure, logic, and rendering without mixing HTML and templating syntax. One of its key advantages is performance, as it can render HTML extremely quickly while maintaining predictable scaling even with complex component hierarchies. ... -
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Nano Events
Simple and tiny (107 bytes) event emitter library for JavaScript
Nano Events is a minimalistic, high-performance event emitter library for JavaScript. Its goal is to provide the simplest possible API to add pub/sub capabilities (emitters and listeners) to any JS object or application, while keeping overhead and bundle size extremely small. Rather than offering many complex features, nanoevents focuses on the core primitives: creating an emitter, subscribing to named events, emitting events with arbitrary data, and unsubscribing. Because of its minimal API... -
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Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine... -
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Solid
A declarative JavaScript library for building user interfaces
...Provides modern framework features like JSX, fragments, Context, Portals, Suspense, streaming SSR, progressive hydration, Error Boundaries and concurrent rendering. -
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AWS Amplify
A declarative JavaScript library for application development
The Amplify open-source client libraries provide use-case-centric, opinionated, declarative, and easy-to-use interfaces across different categories of cloud-powered operations enabling mobile and web developers to easily interact with their backends. These libraries are powered by the AWS cloud and offer a pluggable model which can be extended to use other providers. The libraries can be used with both new backends created using the Amplify CLI and existing backend resources. The Amplify... -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
...PyOD contains multiple models that also exist in scikit-learn. It is possible to train and predict with a large number of detection models in PyOD by leveraging SUOD framework. A benchmark is supplied for select algorithms to provide an overview of the implemented models. In total, 17 benchmark datasets are used for comparison, which can be downloaded at ODDS. -
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ARC-AGI
The Abstraction and Reasoning Corpus
ARC-AGI is a benchmark dataset and experimental framework designed to evaluate and advance artificial general intelligence by testing systems on abstract reasoning tasks that require human-like problem-solving abilities. It consists of a curated set of tasks where models must infer patterns from input-output examples and apply those rules to new unseen cases, without relying on memorization or prior training data. -
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FastReport Open Source
Free Open Source Reporting tool for .NET
Free Open Source Reporting tool for .NET Core/.NET Framework that helps your application generate document-like reports. -
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Ada Bar Codes
Bar Code (1D or 2D) generator in pure Ada
The project Ada Bar Codes provides a framework for generating various types of bar codes (1D, or 2D, like QR codes) on different output formats and devices. Alire crate: https://alire.ada.dev/crates/bar_codes Mirror: https://github.com/zertovitch/ada-bar-codes -
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Neiki's Charts
Lightweight SVG chart Web Component
Neiki's Charts is a lightweight SVG chart library built as a native Web Component. Drop a single script tag into any HTML page and get four chart types — Line, Bar, Pie, and Scatter — with no build step, no framework, and zero dependencies. CSS is bundled automatically, so one file is all you need. The component uses Shadow DOM for style encapsulation and fits cleanly into any project without CSS conflicts. Charts are fully responsive, support light and dark themes with automatic prefers-color-scheme detection, and expose a simple JS API for data and options. ... -
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Statistical Rethinking 2024
This course teaches data analysis
The 2024 repository is the most recent version of the course, reflecting ongoing refinements in pedagogy, statistical modeling techniques, and coding practices. It provides updated notebooks, R scripts, and model examples, some streamlined and restructured compared to previous years. The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools.... -
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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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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. -
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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. -
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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. ... -
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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. -
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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.
