Open Source Libraries - Page 50
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AVLoadingIndicatorView
A collection of nice loading animations for Android
AVLoadingIndicatorView is a collection of nice loading animations for Android. You can add dependencies in build.gradle. You have the option of adding the AVLoadingIndicatorView to your layout. Indicators are load from class names, proguard may change it (rename). Among the features provided and available, you can add dependencies, add xml layout, show and hide, etc. AVLoadingIndicatorView is very simple to use. You can also find iOS version of AVLoadingIndicatorView under the name "NVActivityIndicatorView". You can change all properties in Attributes inspector tab of Utilities panel. All properties are public so you can change them after initializing. -
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AVR-Ada
Ada cross compiler and libraries for AVR µCs
The AVR-Ada project provides the gcc based Ada compiler GNAT for the AVR 8-bit microcontrollers. This includes: - the Ada compiler - the Ada run time system and the AVR support library - documentation and some sample programs. The project is now superseded by the Alire crates - [AVRAda_RTS](https://github.com/RREE/AVRAda_RTS) - [AVRAda_MCU](https://github.com/RREE/AVRAda_MCU) - [AVRAda_Lib](https://github.com/RREE/AVRAda_Lib) - [AVRAda_Examples](https://github.com/RREE/AVRAda_Examples) Start with the examples (alr get avrada_examples) and Alire will install everything else. -
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AWS Amplify
A declarative JavaScript library for application development
The Amplify open-source client libraries provide use-case-centric, opinionated, declarative, and easy-to-use interfaces across different categories of cloud-powered operations enabling mobile and web developers to easily interact with their backends. These libraries are powered by the AWS cloud and offer a pluggable model which can be extended to use other providers. The libraries can be used with both new backends created using the Amplify CLI and existing backend resources. The Amplify JavaScript libraries are supported for different web and mobile frameworks including React, React Native, Angular, Ionic, and Vue. It is recommended that you first complete the Getting Started guide for Amplify JavaScript. The Amplify Framework uses Amazon Cognito as the main authentication provider. Amazon Cognito is a robust user directory service that handles user registration, authentication, account recovery & other operations. -
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AWS AppSync JavaScript SDK
JavaScript library files for Offline, Sync, Sigv4.
AWS AppSync is a fully managed service that makes it easy to develop GraphQL APIs by handling the heavy lifting of securely connecting to data sources like AWS DynamoDB, Lambda, and more. You can use any HTTP or GraphQL client to connect to a GraphQL API on AppSync. For front-end web and mobile development, we recommend using the Amplify clients which are optimized to connect to the AppSync backend. For DynamoDB data sources, use the DataStore category in the Amplify client. It provides the best developer experience and built-in conflict detection and resolution. For non-DynamoDB data sources in scenarios where you have no offline requirements, use the API (GraphQL) category in the Amplify client. For use cases where you are utilizing the Apollo V3 client, use the Apollo Links in this repository to help with authorization and subscriptions. -
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AWS CodeBuild curated Docker images
AWS CodeBuild repository for managed Docker images
When you call AWS CodeBuild to run a build, you must provide information about the build environment. A build environment represents a combination of operating system, programming language runtime, and tools that CodeBuild uses to run a build. The master branch will sometimes have changes that are still in the process of being released in AWS CodeBuild. When you provide information to CodeBuild about the build environment, you specify the identifier of a Docker image in a supported repository type. These include the CodeBuild Docker image repository, publicly available images in Docker Hub, and Amazon Elastic Container Registry (Amazon ECR) repositories that your AWS account has permission to access. We recommend that you use Docker images stored in the CodeBuild Docker image repository, because they are optimized for use with the service. -
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AWS IoT Device Defender Library
Client library for using AWS IoT Defender service on embedded devices
The Device Defender library enables you to send device metrics to the AWS IoT Device Defender Service. This library also supports custom metrics, a feature that helps you monitor operational health metrics that are unique to your fleet or use case. For example, you can define a new metric to monitor the memory usage or CPU usage on your devices. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT client library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis. -
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its state. Each device’s shadow is uniquely identified by the name of the corresponding “thing”, a representation of a specific device or logical entity on the AWS Cloud. See Managing Devices with AWS IoT for more information on IoT "thing". More details about AWS IoT Device Shadow can be found in AWS IoT documentation. This library is distributed under the MIT Open Source License. -
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AWS IoT Fleet Provisioning Library
Client library for using AWS IoT Fleet Provisioning service
The Fleet Provisioning library enables you to provision IoT devices without device certificates using the Fleet Provisioning feature of AWS IoT Core. For an overview of provisioning options available, see Device provisioning. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis, and validation of memory safety through the CBMC automated reasoning tool. -
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AWS IoT Jobs library
Client library for using AWS IoT Jobs service on embedded devices
The AWS IoT Jobs library helps you notify connected IoT devices of a pending Job. A Job can be used to manage your fleet of devices, update firmware and security certificates on your devices, or perform administrative tasks such as restarting devices and performing diagnostics. It interacts with the AWS IoT Jobs service using MQTT, a lightweight publish-subscribe protocol. This library provides a convenience API to compose and recognize the MQTT topic strings used by the Jobs service. The library is written in C compliant with ISO C90 and MISRA C:2012, and is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone both static code analysis from Coverity. -
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AWS Lambda for Go
Libraries, samples and tools to help Go developers develop AWS Lambda
Libraries, samples and tools to help Go developers develop AWS Lambda functions. Libraries, samples, and tools to help Go developers develop AWS Lambda functions. Preparing a binary to deploy to AWS Lambda requires that it is compiled for Linux and placed into a .zip file. Windows developers may have trouble producing a zip file that marks the binary as executable on Linux. To create a .zip that will work on AWS Lambda, the build-lambda-zip tool may be helpful. -
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AWS SDK ZF2 Module
ZF2 module for using the AWS SDK for PHP to interact with AWS services
Get started quickly using AWS with the AWS SDK for PHP. The SDK is a modern, open-source PHP library that makes it easy to integrate your PHP application with AWS services like Amazon S3, Amazon Glacier, and Amazon DynamoDB. Version 3 of the AWS SDK for PHP is now generally available and includes a number of improvements and new features while maintaining nearly identical API patterns for easy migration from version 2. Conveniently marshal and unmarshal JSON documents and PHP arrays for storage in Amazon DynamoDB. Remove the session state scale bottleneck by easily storing the application session state in DynamoDB. Use PHP's built-in functions such as fopen, copy, and file_get_contents to work with objects stored in Amazon S3. Automates polling for resource state changes such as waiting for a newly launched Amazon EC2 instance to reach the 'running' state. -
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AWS SDK for iOS
AWS SDK for iOS
AWS SDK for iOS is a comprehensive development kit that enables iOS applications to interact with AWS cloud services, including storage, databases, authentication, and analytics. -
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AboutLibraries
AboutLibraries automatically collects all dependencies and licenses
.. collects all dependency details including licenses at compile time, and offers simple APIs to visualize these in the app. No runtime overhead. Strong caching. Any gradle dependency is supported. -
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Absolute Baseline Complete Default Suite
A NetBeans Module Suite project cluster for common branding functions.
gts-abcdef is a NetBeans Module Suite project harness, useful for templating some NetBeans Platform module suite applications with a set of common branding and initialization infrastructure. Add this to your new module suite application project. -
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Acme::Ghost
An yet another view to daemon processes
This module extends the functionality of CTK::Daemon -
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Acrux
Southern crucis constellation for your applications
This is CTK library of the next generation -
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ActFX is a 3D engine written in C # using XNA and Framework.NET ActFX è un 3D engine scritto in C# utilizzando XNA e il Framework.NET
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"Active Collections" is an API written by extending existing collection framework provided in JDK. This API will facilitate the consumer of a collection to handle events whenever the collection is modified.
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Active Graphs and Charts
Add Powerful reporting features to your Web / Intranet pages and appli
With the advanced graphing functionality you will be quickly adding impressive and dynamic charting capabilities. The graphing software is completely self contained within a single file making this an ideal solution for the incorporation of graphs and charts into web / intranet pages and applications. Versatile components provide the ability for web authors and developers to easily build and publish dynamic and interactive graphs and charts. -
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Ada industrial control widget library
A GUI library for designing gauges, meters, oscilloscopes, plotters
A library that is intended for designing high-quality industrial control widgets for Ada applications. The widgets are composed of transparent layers drawn by cairo. The widgets are fully scalable graphics. A time controlled refresh policy is supported for real-time and heavy-duty applications. The library supports caching graphical operations and stream I/O for serialization and deserialization. Ready-to-use gauge, meter, oscilloscope widgets are provided as samples as well as an editor widget for WYSIWYG design of complex dashboards. The software is based on GtkAda and cairoada, the Ada bindings to GTK+ and cairo. -
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AdaAutoDiff
C++ Templates and Ada Package for Automatic Differentiation
Operators are overloaded so that a normal looking function definition provides access to not only evaluations of itself, but to evaluations of any of its analytic derivatives. Automatic differentiation means the user does not need to define the analytic expressions for all the various partial derivatives. It also means that those complex expressions are essentially calculated at compile time, and merely evaluated at runtime. First order derivatives only, forward accumulation. Choose "files" and either the "initial_submission" directory for the Ada version, or the other directory "cpp_AD" for the C++ version. -
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AdaFontDemo
Ada Fonts is a minimalistic example of using freetype fonts in OpenGL
Ada Fonts is a minimalistic example of using freetype fonts in OpenGL Ada applications using Felix Krause's FreeTypeAda package It is intended to be the modern version of the "glut font" demos from a previous era. It also uses Stephen Sangwine's PNG-IO package, and thin bindings to OpenGL, SDL2. More importantly, it shows how to encapsulate the scripts and runtime libraries necessary to easily compile and run on any computer running Windows, OS-X, or GNU/Linux. The only 3rd-party tool required is an Ada compiler. -
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AdaNet
Fast and flexible AutoML with learning guarantees
AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each iteration, it measures the ensemble loss for each candidate, and selects the best one to move onto the next iteration. Adaptive neural architecture search and ensemble learning in a single train call. Regression, binary and multi-class classification, and multi-head task support. A tf.estimator.Estimator API for training, evaluation, prediction, and serving models.
