Search Results for "data capture framework"
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14 projects for "data capture framework" with 2 filters applied:
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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AAChartKit Swift
An elegant modern declarative data visualization chart framework
An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. AAInfographics is the Swift language version of AAChartKit which is object-oriented, a set of easy-to-use, extremely elegant graphics drawing controls,based on the popular open source front-end chart library Highcharts. ... -
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Arrow
Functional companion to Kotlin's Standard Library
Arrow Core includes types such as Either, Validated and many extensions to Iterable that can be used when implementing error handling patterns. Core also includes the base continuation effects system, which includes patterns to remove callbacks and enables controlled effects in direct syntax. Some applications of the effect system reduce boilerplate and enable direct syntax including monad comprehensions and computation expressions. Arrow Fx is a next-generation Typed FP Effects Library that... -
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Lullaby
A collection of C++ libraries designed to help teams
Lullaby is a modular collection of high-performance C++ libraries developed by Google for creating immersive virtual and augmented reality (VR/AR) experiences. It provides a flexible framework built around an Entity-Component-System (ECS) architecture, enabling developers to design efficient, scalable, and data-driven 3D applications. The framework includes tools and APIs for rendering full 3D environments, managing spatial audio, handling animations, and constructing interactive UI elements optimized for VR interfaces. ... -
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Google Charts
Interactive chart library for Flutter & web, now archived & read-only
Charts is an open source charting library created by Google for building data visualizations in the Flutter framework. It provides a set of tools and components for creating visually rich and interactive charts on both Android and iOS platforms. The library includes a core package, charts_common, which defines the shared logic and rendering capabilities, and charts_flutter, a Flutter-specific implementation that enables seamless integration with mobile apps. -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Riverpod
A reactive caching and data-binding framework
Riverpod is a modern, framework-agnostic state management and dependency injection library for Dart and Flutter that emphasizes compile-time safety and explicit data flow. Instead of tying state to widget trees, it models state as providers that can be read anywhere, making logic more testable and decoupled from UI. It supports synchronous state, async data (futures/streams) with built-in loading/error handling, and advanced patterns like derived state and provider scopes. ... -
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Quiver for Dart
A set of utility libraries for Dart
Quiver is a comprehensive collection of utility libraries for Dart that extends core functionality and simplifies common programming patterns. It provides reusable tools for asynchronous programming, data structures, caching, time manipulation, string utilities, and more. Originally inspired by Google’s internal libraries, Quiver helps developers write cleaner, more expressive, and testable Dart code. Its modular design allows importing only the needed packages, making it both flexible and... -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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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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Advanced RecyclerView
RecyclerView extension library which provides advanced features
This RecyclerView extension library provides Google's Inbox app like swiping, Play Music app like drag-and-drop sorting and expandable item features. Works on API level 14 or later. Reduces library conflicts, easy to integrate with existing code. Looks difficult at a glance, but gives great flexibility like the original RecyclerView. Swipe dismiss and swipe pinning operation. (like Google's Inbox app). Smooth item reordering with linear list (LinearLayoutManager). It behaves like the... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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HandyJSON
A handy swift json-object serialization/deserialization library
HandyJSON is a framework written in Swift which makes converting model objects( pure classes/structs ) to and from JSON easy on iOS. Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. We are... -
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FXForms
Library for easily creating table-based forms on iOS
...The framework handles value binding between the UI and your model object, so you don’t have to wire up outlets or write repetitive save/validate code. Navigation behaviors such as next-field focus and section grouping are built in, improving usability out of the box. By reducing form glue code, FXForms helps teams ship consistent, maintainable data-entry flows faster, especially in apps with many settings or profile screens. -
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AndroidAdapters
A library, which provides various Adapters for Android apps
"AndroidAdapters" is an Android-library, which provides feature-rich adapter implementations for providing the underlying data of widgets such as ListView, GridView, ExpandableListView and RecyclerView. -
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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.
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DBFrames is an application framework for building data aware applications for Windows Mobile devices. It uses PythonCE, SQLite and PocketPyGui. Version for Android (writen in Java): https://github.com/yurtk/dbfragments
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