Search Results for "data capture framework" - Page 3
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94 projects for "data capture framework" with 2 filters applied:
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Golden Layout
A multi window layout manager for webapps
...The library integrates with popular frontend frameworks such as Angular and Vue, and includes support for virtual components to bridge framework-specific rendering models. -
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Flowy
The minimal javascript library to create flowcharts
...The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. Events emitted by flowy enable integration with your own data model, so you can sync block positions, connections, and metadata back to a database or application state. It is framework-agnostic, so it can be dropped into vanilla JavaScript projects or wrapped inside React, Vue, or other frameworks. -
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SelectPage
A simple style and powerful selector, including ajax remote data
A simple style and powerful selection jQuery plugin, including ajax remote data, autocomplete, pagination, tags, i18n and keyboard navigation features. -
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PyTorchVideo
A deep learning library for video understanding research
...The library includes efficient implementations of state-of-the-art architectures such as SlowFast, X3D, and MViT, optimized for both research prototyping and production inference. It supports video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal video analysis. Designed to accelerate research and deployment, it serves as a unified framework for reproducible, high-performance video AI development. -
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XLForm
XLForm is the most flexible and powerful iOS library
XLForm is a powerful Objective-C framework for creating dynamic and customizable forms in iOS applications. It simplifies the process of building forms with various input types, validation, and UI customization. -
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Essentials
General purpose utilities and hash functions for Android and Java
Essentials is a lightweight collection of high-performance utility classes designed to enhance standard Java and Android development without introducing heavy dependencies. The library focuses on providing efficient data structures and helper utilities that often outperform equivalent components in the standard Java API. It is intentionally minimalistic and is not positioned as a full framework, but rather as a focused toolkit that fills common gaps developers encounter in everyday projects. Essentials emphasizes speed and low footprint, with components such as LongHashMap delivering measurable performance improvements over standard implementations. ... -
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Reactive MVVM
My way to MVVM using KotlinX Coroutines and Android data-binding
My way to MVVM using KotlinX Coroutines with Android data binding. Use MVVM using architecture components with to separate Android Framework with a clean architecture to my domain logic. Use Android Databinding with LiveData to glue ViewModel and Android. -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic structure. Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. ... -
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Json Node Tree Library
Represents JSON doc as a nodes tree for transforms like XPATH & XSLT.
Json Node Tree framework is provisioning of transformation operations for JSON documents similar XML XPATH and XSLT. The framework parses textual JSON document to nodes tree that represents JSON entity: object, array or value of primitive type. Generated tree allows to modify values of nodes and/or structure of the given JSON document. Representation of JSON object as a nodes tree allows implement an operations such as path query and transformations (like XPATH and XSLT for XML). -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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React Charts
Simple, immersive & interactive charts for React
TanStack React-Charts is a headless React library focused on composable, customizable, and performant charting components, providing flexible chart primitives without imposing styling or rendering constraints. Simple, immersive and interactive charts for React. Extensible with custom rendering layers and styles. Supports various chart types (line, bar, pie, etc.) -
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WebRTC Android
webrtc VideoCall VideoConference
WebRTC Android is a sample project that showcases how to implement real-time peer-to-peer communication (audio, video, and data) on Android using WebRTC. It demonstrates a complete pipeline—from signaling and connection setup to media capture and transmission—making it an excellent reference for developers looking to integrate WebRTC into their mobile apps. The project includes UI components and handles network state changes, codec configuration, and ICE negotiation to provide a robust base for real-world applications. -
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easy_profiler
Lightweight profiler library for c++
Lightweight cross-platform profiler library for C++. You can profile any function in your code. Furthermore, this library provides measuring time of any block of code. For example, information for 12 millions of blocks is using less than 300Mb of memory. Working profiler slows your application execution for only 1-2%. The average overhead per block is about 15ns/block (tested on Intel Core i7-5930K 3.5GHz, Win7). Disabled profiler will not affect your application execution in any way. You... -
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Incremental DOM
An in-place DOM diffing library
...It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. The library is small and focused: it manages element creation, attribute updates, and text nodes while leaving state management and data flow to the host framework. The result is predictable updates with minimal overhead, especially useful in performance-critical views. -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. ... -
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PHPExcel
Library offering classes to read from and write to spreadsheet formats
PHPExcel is a comprehensive library for reading, writing, and manipulating Excel spreadsheets in PHP, supporting multiple formats like XLS, XLSX, CSV, and more. Developers can create complex spreadsheets with styled cells, formulas, charts, images, and multiple sheets programmatically. It also supports reading existing files, iterating through cells, applying data validation, and converting between formats. Because it handles the details of Excel file structures—including relationships,... -
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ideabook
A growth engineering idea in action
...Each project is described with background, a showcase or story of need, and step-by-step implementation suggestions: from building a GIS system with Django+Haystack, to an editing-publishing separated blogging system, to an Ionic/Electron hybrid application, to building a JavaScript slide framework. The aim is to give developers concrete, creative, and tricky exercise ideas rather than generic “todo app” templates, helping them build their portfolio, sharpen skills, and explore architectures. The repository emphasizes “growth engineering”, building systems, not just UI, that require thinking about data flows, tooling, deployment, and scaling. ... -
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torch-rnn
Efficient, reusable RNNs and LSTMs for torch
The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing data, training models, and sampling outputs. ... -
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Sesame
Java RDF Framework
This project is no longer actively maintained. It is succeeded by the Eclipse RDF4J project, which can be found at GitHub and at http://www.rdf4j.org/. Sesame is a de-facto standard framework for processing RDF data. This includes parsing, scalable storage, reasoning and full SPARQL 1.1 query/update support. Sesame offers a fully modular toolkit and an easy-to-use Java API that can be connected to all leading RDF storage solutions. -
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Webiness
Lightweight PHP framework
Webiness is lightweight PHP framework based on MVC design pattern. It has a very straightforward installation process that requires only a minimal configuration, so it can save you a lot of hassle. Also, it canbe an ideal choice if you want to avoid PHP version conflict, as it works on all PHP versions from 5.3. Webiness extensively uses the lazy loading technique so, in most cases, it is faster then other frameworks. It can be used for rapid prototyping of web applications. Webiness is... -
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dotNetRDF is a .Net Class Library for working with RDF and SPARQL programatically built with C# 3 for the .Net Framework 3.5/4.0/Silverlight 4 and WIndows Phone 7. It provides a simple object model for representing RDF, SPARQL Queries and Updates and understands all common RDF and SPARQL syntaxes. Extensive documentation is available on the website and support is available via the mailing lists.
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MythCore
Myth Framework Core Libraries (part of MythSDP)
MythCore is a PHP framework that allows the developer to use a C# .NET like object oriented programming approach. It provides the essential classes that the MythSDP platform and the MythFramework builds upon. The goal is to create a library that enables the programmer to use a fully object oriented approach that has the "feel" of .NET and Java programming. Our main goal is ease of use and rapid application development. However, performance and small-footprint are some of the main design... -
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Project development was moved to GitHub: https://github.com/dom4j/dom4j dom4j is a simple and flexible open source library for working with XML, XPath and XSLT on the Java platform using the Java Collections Framework with full integration with DOM, SAX and JAXP.
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ptp4j
A Java library implementing the PTP/MTP/PTP2 protocol
This is a platform independent library Java library implementing the PTP/MTP/PTP2 protocol to communicate with camera devices. -
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JDAL (Java Database Application Library)
Java data access and swing binding library
JDAL is a Java library that aims to help developers making database applications easily using Spring Framework and Hibernate, JPA or IBatis ORMs. Support generic DAOs and ready to use UI Components with server side pagination and sorting. -
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libVMR
VMR - machine learning library
libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR).
