Open Source Libraries - Page 8

Nightmare is a high-level browser automation library from Segment. The goal is to expose a few simple methods that mimic user actions (like goto, type and click), with an API that feels synchronous for each block of scripting, rather than deeply nested callbacks. It was originally designed for automating tasks across sites that don't have APIs, but is most often used for UI testing and crawling. Segment started with an open source project. Since then, we’ve open sourced hundreds of our repos. We want to continue supporting the community by publishing our code and other developers’ awesome open source projects. We use these open source projects as the foundations of our infrastructure to handle billions of API calls per day and to allow us to rapidly build and test code on the client.

The On-Demand Intelligent Network Interface (ODINI) is a solution to interconnect mobile and fixed networks for mission-critical communications. The objective of this project is to support the ODINI ecosystem with an open-source middleware library.

OHHTTPStubs is a library designed to stub your network requests very easily. It can help you test your apps with fake network data (stubbed from file) and simulate slow networks, to check your application behavior in bad network conditions, and write unit tests that use fake network data from your fixtures. OHHTTPStubs headers are fully documented using Appledoc-like / Headerdoc-like comments in the header files. Instead of writing the content of the stubs you want to use manually, you can use tools like SWHttpTrafficRecorder to record network requests into files. This way you can later use those files as stub responses. OHHTTPStubs is split into subspecs so that when using Cocoapods, you can get only what you need, no more, no less. OHHTTPStubs supports Swift 2.2 (Xcode 7), Swift 2.3 (Xcode 8), Swift 3.0 (Xcode 8+) and Swift 3.1 (Xcode 8.3+).

This library can retrieve icons from extensions and files, with additional information like file type (hard drive, folder, PHP Script File, ...). The library also provides a class for CACHE icons and creates an ImageList with the added icons.

OnPosix is a minimal C++ library that allows to speed-up development on embedded Posix platforms (e.g., Embedded Linux). Code available at https://github.com/evidence/linux-onposix

ParaStation is a robust and efficient cluster middleware, consisting of a high-performance communication layer (MPI) and a sophisticated management layer. Please notice, the public development has moved to github: https://github.com/ParaStation

PCKG is a suite of SAS macros to simplify the administration and use of SAS macro libraries and macro library versions. PCKG supports SAS macro libraries with multiple macro directories, relative paths, macro catalogs and macro library dependencies.

This project provides an object-oriented and extensible PHP library for managing DNS zones/domains/hosts for the PowerDNS server. It provides a single, consistent interface to access various databases and LDAP directories

The Photon uses an ARM Cortex M3 CPU based microcontroller. All of the code is built around the GNU GCC toolchain offered and maintained by ARM. The build requires version 5.3.1 20160307 or newer of ARM GCC and will print an error message if the version is older than this. In order to turn your source code into binaries, you will need a tool called make. Windows users need to explicitly install make on their machines. Make sure you can use it from the terminal window. The entire Particle firmware is contained in this repository. The main user code sits in the application.cpp file under firmware/user/src/ folder. Unless you know what you are doing, refrain from making changes to any other files. After you are done editing the files, you can rebuild the repository by running the make command in the firmware/main/ directory. If you have made changes to any of the other directories, make automatically determines which files need to be rebuilt and builds them for you.

O PasRipherals é uma biblioteca totalmente nova e original para manipular os periféricos do Raspberry Pi 3 a partir do Free Pascal. A meta desta biblioteca é ser tão simples e didática quanto possível, fornecendo suporte a apenas um dispositivo: Raspberry Pi 3 B (BCM2837). Isso não é uma desvantagem, pois esta biblioteca é de código aberto e pode ser livremente modificada segundo normas da GNU/GPLv2. O PasRipherals usa técnicas e algoritmos aprendidos a partir das seguintes bibliotecas e exemplos: * WiringPi (http://wiringpi.com) * BCM2835 (https://www.airspayce.com/mikem/bcm2835/) * RPI_HAL (https://github.com/rudiratlos/rpi-hal) * PiGPIO (https://abyz.me.uk/rpi/pigpio/index.html) A principal diferença é a abordagem orientada a objetos os quais tem um conjunto abrangente de métodos e propriedades.

C Library to manage a pool of event/task in a persistent way to assure that your events/tasks won't be deleted because of a failure. Events/tasks are saved on a FS. if FS is NFS, NFS availability checks are made. (comes with a python binding)

Ever need to hook different directories together? You've found the answer! Piecemeal is an extensible, Java-based API that seamlessly binds, migrates and interacts with multiple user data stores. It facilitates unified, one-stop directory access.

Connector to Primavera P6 Project Manager database. Analog Primavera API.

PureEnergy is an organized file manager for SuperWikia Super Controller reactors which provide fluent access of each reactor's Sadeic files and other components of the native Super Controller Codec partitions. PureEnergy features IDE & SDK utilities.

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour).

PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.

PySide QtSerialPort Binding Shiboken LGPL3 QtSerialPort is officially part of Qt (http://www.qt.io). info link: http://wiki.qt.io/QtSerialPort

A Python module to seamlessly interact with the Velleman K8055 kit via the K8055D.dll for Windows using Python ctypes

REX: Remote EXecution Distributed Computing Services for Linux and Solaris, providing C and C++ APIs, librex library and "rexd" daemon software to implement Load Balancing Process Migration : Dump + Restore, Remote File and Resource Management.

Instructions and source code to build a native ROS port for the iOS platform. The project also includes a sample application for testing.

This project is the implementation of a communication protocol for real time exchange between remote components.

Project has moved. http://rhyduino.codeplex.com

Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. The primary usage model involves REST calls with various serialization scheme support. Ribbon comprises of multiple components some of which are used in production internally and some of which were replaced by non-OSS solutions over time. This is because Netflix started moving into a more componentized architecture for RPC with a focus on single-responsibility modules. So each Ribbon component gets a different level of attention at this moment. APIs that integrate load balancing, fault tolerance, caching/batching on top of other ribbon modules and Hystrix. Load balancer APIs that can be used independently or with other modules. APIs using Eureka client to provide dynamic server list for cloud.

RooCARDS is a set of C++ classes written for the ROOT analysis framework which interface ROOT to the Stuttgart Neural Network Simulator (SNNS). This interface is based on a concept originally developed by Professor Yibin Pan at the UW-Madison.