Search Results for "data capture framework" - Page 4
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Showing 1363 open source projects for "data capture framework"
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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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GraphQL Lighthouse
A framework for serving GraphQL from Laravel
A framework for serving GraphQL from Laravel. Use the GraphQL Schema Definition Language to describe your data and add functionality through server-side directives. Build a GraphQL server on top of an existing Laravel application. Maximize code reuse and work with concepts you already know. Lighthouse leverages your existing models and creates optimized database queries out of the box. -
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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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WTForms
A flexible forms validation and rendering library for Python
...Flask-WTF integrates with the Flask framework. It can automatically load data from the request, uses Flask-Babel to translate based on user-selected locale, provides full-application CSRF, and more. -
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wacli
WhatsApp CLI
wacli is a command-line interface for WhatsApp that focuses on syncing, searching, and sending messages through the WhatsApp Web protocol. It is designed as a third-party CLI built on top of whatsmeow, giving developers and power users a local-first way to work with WhatsApp data outside the standard app interface. The project supports interactive authentication through a QR-based login flow and then transitions into a non-interactive sync mode for ongoing message capture. It stores data locally, which enables fast offline search across previously synced conversations and makes it useful for automation, archiving, and analysis workflows. ... -
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XGBoost
Scalable and Flexible Gradient Boosting
...It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples. -
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
NVIDIA Warp is a high-performance Python framework developed by NVIDIA for building and accelerating simulation, graphics, and physics-based workloads using GPU computing. It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance... -
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Dash
Build beautiful web-based analytic apps, no JavaScript required
Dash is a Python framework for building beautiful analytical web applications without any JavaScript. Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. Dash apps are very lightweight, requiring only a limited number of lines of Python or... -
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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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Catlab.jl
A framework for applied category theory in the Julia language
...First and foremost, Catlab provides data structures, algorithms, and serialization for applied category theory. Macros offer a convenient syntax for specifying categorical doctrines and type-safe symbolic manipulation systems. Wiring diagrams (aka string diagrams) are supported through specialized data structures and can be serialized to and from GraphML (an XML-based format) and JSON. -
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AAChartKit
Modern declarative data visualization chart framework
AAChartKit is an elegant and friendly (user-friendly && enviroment-friendly) chart framework for iOS, based on the open source Highcharts JS libraries. AAChartKit is extremely powerful, easy to configure and a pleasure to use. Currently AAChartKit includes support for the following chart types: column chart, bar chart, area chart, area spline chart, line chart, spline chart, radar chart, polar chart, pie chart, bubble chart, pyramid chart, funnel chart, column range and area range chart.... -
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learn_python3_spider
Python crawler tutorial series, learning Python crawlers from 0 to 1
learn_python3_spider is a tutorial and example-code collection for learning web scraping with Python 3 from beginner to advanced topics. It introduces request capture, browser and mobile traffic inspection, and core scraping libraries such as Requests, BeautifulSoup, Selenium, Appium, and Scrapy. Lessons also cover JSON parsing, regular expressions, concurrency, proxy usage, login handling, and CAPTCHA-related techniques. Data can be stored with CSV, MySQL, or MongoDB examples. More advanced material explores anti-scraping defenses, JavaScript analysis, WebSocket data, and distributed crawlers. ... -
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DotVVM
Open source MVVM framework for Web Apps
DotVVM is an open-source framework for ASP.NET. It lets you create web apps using the MVVM pattern, with just C# and HTML. DotVVM can be used to build new ASP.NET Core web apps, or to modernize legacy ASP.NET apps and migrate them to .NET 5. Save your time with GridView, FileUpload and other components shipped with the framework. Don't spend the time building an API. -
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GongSolutions.WPF.DragDrop
The GongSolutions.WPF.DragDrop library is a drag'n'drop framework
...Developers can use it to reorder items inside one control or move data between different controls. It is a practical choice for WPF apps that need clean, maintainable, and user-friendly drag-and-drop workflows. -
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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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React Router
Declarative routing for React
React Router is a standards‑focused, multi‑strategy routing library for React applications, offering both full‑framework capabilities and lightweight, flexible library usage. It enables robust routing experiences across React versions. It supports advanced features in React 19. You can use it maximally as a React framework or minimally as a library with your own architecture. First‑class type safety with automatic type generation for route params and data. -
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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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Pico.css
Minimal CSS Framework for semantic HTML
Minimal CSS Framework for semantic HTML. Elegant styles for all native HTML elements without .classes and dark mode automatically enabled. Pico uses simple native HTML tags as much as possible. Less than 10 .classes are used in Pico. No dependencies, package manager, external files, or JavaScript. Elegant and consistent adaptive spacings and typography on all devices. Shipped with two beautiful color themes, automatically enabled according to the user preference. We use simple native HTML... -
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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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X-Crawl
Flexible Node.js AI-assisted crawler library
A high-performance web crawling and scraping framework for Node.js, designed for large-scale data extraction. -
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Ember.js
A JavaScript framework for creating ambitious web applications
Ember.js is a productive, battle-tested JavaScript framework for building ambitious web applications. It's designed to make building web applications a whole lot easier, with everything you need to build rich UIs that work on any device available to you right out of the box. Ember helps keep you at your most productive with its solid CLI, built-in router, fully-featured data access library called Ember Data, and many other great features. -
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GeoStats.jl
An extensible framework for geospatial data science
GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). -
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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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Fabric
Fabric is an open-source framework for augmenting humans using AI
Fabric is a command-line framework that turns a curated library of prompt “patterns” into reusable, automatable workflows for large language models. Instead of repeatedly crafting ad-hoc prompts, you pick a pattern (for research, summarization, brainstorming, code review, and more) and feed it inputs or files. The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with... -
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layui
Classic modular front-end UI framework
Created by professional front-end, for full-level front-end and back-end developers, a low-threshold, out-of-the-box front-end UI solution. Layui (homonym: UI-like) is a front-end UI framework written with its own module specifications, following the writing and organization of native HTML/CSS/JS, with a very low threshold and ready to use. Its exterior is minimalist, but it does not lose its fullness. The volume is light and the components are abundant. Every detail from the core code to...
