Search Results for "data capture framework" - Page 4
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Showing 1168 open source projects for "data capture framework"
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deck.gl
WebGL2 powered visualization framework
deck.gl is designed to simplify high-performance, WebGL-based visualization of large data sets. Users can quickly get impressive visual results with minimal effort by composing existing layers, or leveraging deck.gl's extensible architecture to address customer needs. deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at them with views: e.g. map, first-person, orthographic. deck.gl handles a number of challenges out of... -
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PDF4QT
Open source PDF editor
PDF4QT is open source PDF editor based on Qt framework. It contains a C++ library, applications for viewing/editing PDF documents, and a command line tool. PDF4QT is an open-source PDF editor for Windows/Linux. It is a modern solution for viewing/editing/rendering PDF documents, for users and developers alike. For developers, there is a C++ library and a command line tool for use in scripts. For users, there are four applications offering many features. The project is hosted on Github and... -
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Halfmoon
Front-end framework with a built-in dark mode
Front-end framework with a built-in dark mode and full customizability using CSS variables; great for building dashboards and tools. Halfmoon is a responsive front-end framework that is great for building dashboards and tools. Built-in dark mode, full customizability using CSS variables (around 1,500 variables), optional JavaScript library (no jQuery), Bootstrap-like classes, and cross-browser compatibility (including IE11). Halfmoon comes with a built-in, toggleable dark mode, which is one... -
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Bacalhau
Community-driven, simple, yet powerful framework
Bacalhau is a decentralized compute platform for running jobs on data stored across distributed networks, like IPFS or Filecoin, without moving the data to centralized cloud environments. It allows developers to run containerized workloads close to where the data lives, reducing latency, cost, and privacy risks. Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for... -
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Acl
A powerful server and network library, including coroutine
The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as... -
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InvertibleNetworks.jl
A Julia framework for invertible neural networks
Building blocks for invertible neural networks in the Julia programming language. -
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ember-cli
The Ember.js command line utility
Ember.js is a productive, battle-tested JavaScript framework for building modern web applications. It includes everything you need to build rich UIs that work on any device. Some of the best development teams in the world have been iterating on their products for years with Ember. With scalable UI architecture baked-in from the start, you'll be working with the same patterns these organizations use every step of the way. Ember’s out-of-the-box experience has everything you need to start... -
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Medoo
The lightweight PHP database framework to accelerate the development
Medoo is an open-source project under MIT license and will always be free to use. A lightweight PHP database framework to accelerate development. Supports MySQL, MSSQL, SQLite, MariaDB, PostgreSQL, Sybase, Oracle, and more. Supports various common and complex SQL queries, data mapping, and prevents SQL injection. Works well with every PHP framework, like Laravel, Yii, Slim, and framework which supports singleton extension or composer. -
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Codeception
Full-stack testing PHP framework
...Browser can be emulated with HTTP-requests through CURL with PhpBrowser. Codeception provides high-level domain language for tests. Tests are represented as a set of user's actions. Tests can be executed inside a PHP framework. This way web applications can be executed without web servers to run faster and access application internals. Symfony, Laravel, Zend Framework, Yii, Phalcon are supported. Connect to various data sources MySQL, PostgreSQL, MongoDB, Redis, Memcache to use their data inside tests. Take snapshots to compare data changes with previous runs. ... -
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Behaviour Suite Reinforcement Learning
bsuite is a collection of carefully-designed experiments
...Each experiment in bsuite is meticulously designed to capture key challenges in RL, such as exploration, credit assignment, and stability. The framework supports automated logging and analysis, generating standardized output compatible with Jupyter notebooks for streamlined evaluation. It also integrates easily with existing RL libraries and can be used locally or via cloud computing platforms, including Google Cloud. -
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Apiato
PHP Framework for building scalable API's on top of Laravel
...Auto encoding/decoding of real IDs, to prevent exposing real ids to the outer world. API Throttling (rate-limiting to control the rate of traffic received and protect your server). Support Data Caching (with auto clearing on Create, Update, and Delete). API versioning in the URL or Header (versioning based on the route file name). -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. ... -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. ... -
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Metaflow
A framework for real-life data science
Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. -
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ContainerSSH
ContainerSSH: Launch containers on demand
...The built-in S3 upload ensures you don't lose your data. -
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Hukum
Displays Github Action progress in the terminal
Hukum is an API framework for Indian legal data, providing structured access to legal documents, court rulings, and government regulations. It helps developers build legal research tools and applications. -
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Seal Report
Database Reporting Tool and Tasks (.Net)
Seal Report is an open-source tool for the generation of daily reports from any database. It offers a complete framework for producing dynamic reports and dashboards, with a focus on simplicity and ease of use. -
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CoreNet
CoreNet: A library for training deep neural networks
CoreNet is Apple’s internal deep learning framework for distributed neural network training, designed for high scalability, low-latency communication, and strong hardware efficiency. It focuses on enabling large-scale model training across clusters of GPUs and accelerators by optimizing data flow and parallelism strategies. CoreNet provides abstractions for data, tensor, and pipeline parallelism, allowing models to scale without code duplication or heavy manual configuration. ... -
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CPlusPlusThings
Collection of various C++ code samples, utilities, patterns
CPlusPlusThings is a repository collecting various C++ code samples, utilities, patterns, and small example projects. It is less a polished product and more a learning/reference collection of snippets and usages of C++ idioms, data structures, algorithms, utilities, and perhaps tricks or meta-programming exercises. (No prominent README or detailed docs were available from my quick search.) Example implementations of data structures and algorithms. Organized as a learning repository (rather than a production framework). Encourages reuse and adaptation by developers as a reference. ... -
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OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. ... -
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Shiny
Build interactive web apps directly from R with Shiny framework
Shiny is an R package from RStudio that enables users to build interactive web applications using R without requiring knowledge of JavaScript, HTML, or CSS. It allows statisticians and data scientists to turn their analyses into fully functional web dashboards with reactive elements, data inputs, visualizations, and controls, making data communication more effective and dynamic. -
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Windows Presentation Foundation (WPF)
Framework for building Windows desktop applications
Windows Presentation Foundation (WPF) is a UI framework for building Windows desktop applications. WPF supports a broad set of application development features, including an application model, resources, controls, graphics, layout, data binding and documents. WPF uses the Extensible Application Markup Language (XAML) to provide a declarative model for application programming. WPF applications are based on a vector graphics architecture. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. -
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Relay
JavaScript framework for building data-driven React applications
Relay is data-fetching turned declarative. Components declare their data dependencies, without worrying about how to fetch them. Relay guarantees that the data each component needs is fetched and available. This keeps components decoupled and promotes reuse. With Relay, components and their data dependencies can be quickly modified without modifying other parts of the system. That means you won't accidentally break other components as you refactor or make changes to your app. Relay's... -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking.
