Search Results for "data capture framework" - Page 20
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Showing 1027 open source projects for "data capture framework"
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LimeReport
Report generator for Qt Framework
...As a data source developer can use SQL database or data passed from application using QAbstractTableModel interface. Besides one can initialize variables which available as database request parameters. LimeReport goal is to provide your application with functionaly abundant and at the same time simple to use tool for a report generation to be used even by inexperienced in IT users. -
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jul-javascript
JUL - The JavaScript UI Language
The JavaScript UI Language (JUL) is a configuration and instantiation module for the JavaScript frameworks. It can be used with any framework that accepts a configuration object as a constructor parameter, or with a custom factory for the other frameworks. JUL parses a tree of configuration objects, and creates the runtime components in the expected order and membership. For the most uses, after this step, you will have your application's user interface up and running. Browser... -
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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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JuliaFEM.jl
The JuliaFEM software library is a framework
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed... -
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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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JART XML Framework
XML Application Framework based on JAVA
JART is an XML application framework based on JAVA, using an internal XML programming language. The main goal of the project was to create an high flexible 3 tier based framework for rapid development of web based applications. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
...The project provides TensorFlow and Sonnet-based implementations, pretrained checkpoints, and example scripts for evaluating or fine-tuning models. It also offers sample data, including preprocessed video frames and optical flow arrays, to demonstrate how to run inference and visualize outputs. -
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WALKOFF
A flexible, easy to use, automation framework
Faster, smarter, cheaper operations through automation. WALKOFF puts the tools in your hands to easily automate the tedious repetitive tasks dragging your operations down. Act smarter with WALKOFF by automatically gathering data, analyzing data, or visualizing data customized to your requirements. Act faster with WALKOFF by integrating the capabilities you already own to dynamically respond on your terms to your fast-moving environment. Drag and drop workflow editor. Sharable apps and... -
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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. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Ponzu
Headless CMS with automatic JSON API
Ponzu is a powerful and efficient open-source HTTP server framework and CMS. It provides automatic, free, and secure HTTP/2 over TLS (certificates obtained via Let's Encrypt), a useful CMS and scaffolding to generate content editors, and a fast HTTP API on which to build modern applications. Ponzu is released under the BSD-3-Clause license. With the rise in popularity of web/mobile apps connected to JSON HTTP APIs, better tools to support the development of content servers and management... -
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely... -
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KeystoneJS
Node.js CMS and web app framework
...Whether you use it while you're building out your application, or in production as a database content management system, Keystone's Admin UI will save you time and make managing your data easy. Sometimes, async code can get complicated to do simple things. -
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ORSSerialPort
Serial port library for Objective-C and Swift macOS apps
...There are a number of ways to add ORSSerialPort to your project. You can use the included framework project, Carthage, CocoaPods, or the Swift Package Manager. See the Guide to Installing ORSSerialPort for detailed instructions for each of these methods. -
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React Apollo
React integration for Apollo Client
React Apollo allows you to fetch data from your GraphQL server and use it in building complex and reactive UIs using the React framework. React Apollo may be used in any context that React may be used. In the browser, in React Native, or in Node.js when you want to do server-side rendering. Apollo Client is a comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. -
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JSVerbalExpressions
JavaScript Regular expressions made easy
VerbalExpressions is a JavaScript library that helps to construct difficult regular expressions. Methods have a return type of VerbalExpression except where mentioned otherwise. If there is no mention of a method’s parameters, it is to be assumed that it has none. VerEx is the function that is exported from within VerbalExpressions.js and is to be the first method in chains that describe verbal expressions. Construct and return a new instance of VerbalExpression. Used to support the new... -
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Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. ... -
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bento-starter
Full-Stack solution to quickly build PWA applications with Vue.js
...BentoStarter helps you getting started by proposing a default app structure based on best practices. As this project is a template and not a CLI, you can modify the whole project according to your needs. Prerender your different app pages and boost SEO with meta-data description per page. -
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The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable screens (SimpleScreens), and integration components for EDI, Authorize.NET, and Shippo. ...
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TenorSpace.js
Neural network 3D visualization framework
...After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. ... -
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Invenio
Invenio digital library framework
Invenio is a highly customizable open-source framework for building large-scale digital repositories and research data platforms. Developed by CERN, it is designed to manage, index, and provide access to metadata-rich content such as publications, datasets, and multimedia files. Invenio provides a modular architecture, making it suitable for libraries, archives, and research institutions. -
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ShadowSocksShare
Python ShadowSocks framework
This project obtains the shared ss(r) account from the ss(r) shared website crawler, redistributes the account and generates a subscription link by parsing and verifying the account connectivity. Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code. -
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Wally
Distributed Stream Processing
Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. -
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django-dynamic-scraper
Creating Scrapy scrapers via the Django admin interface
Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project.
