Found 26 packages
PubNub is a Massively Scalable Web Push Service for Web and Mobile Games. This is a cloud-based service for broadcasting messages to thousands of web and mobile clients simultaneously
PubNub is a Massively Scalable Web Push Service for Web and Mobile Games. This is a cloud-based service for broadcasting messages to thousands of web and mobile clients simultaneously
PubNub allows you to securely connect mobile phones, tablets, laptops, desktops and other clients outside of your cloud. PubNub provides the connectivity from your cloud to push data to end clients (phones, tablets, laptops and servers). This is called Real-time Data Push, or Push Notifications. PubNub removes the need for your client apps to constantly poll your cloud for new updates. So you can push data from a Server to a Client. And also you may push data from one Server to another Server, just like Azure ServiceBus ESB. Another option is available for a Mobile Phone to Push Data to another Mobile Phone or any endpoint. With PubNub this becomes easy using the two basic Publish/Subscribe APIs. Additionally PubNub provides automatic Broadcasting. When multiple clients/servers/phones are subscribed to a single channel, each endpoint receives a published message simultaneously.
A self-describing wrapper around protobuf-net.
Near-zero config .NET Core library that makes Task Scheduling, Caching, Queuing, Mailing, Event Broadcasting (and more) a breeze!
PubNub is a Massively Scalable Web Push Service for Web and Mobile Games. This is a cloud-based service for broadcasting messages to thousands of web and mobile clients simultaneously
NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support. If you want to use .NET to get started with machine learning, NumSharp will be your best tool.
ElmahR Core library, receiving errors and broadcasting them to connected clients
The XDMessaging library provides an easy-to-use, zero configuration solution to inter-process communication for .NET applications. It provides a simple API for broadcasting and receiving messages across application domain, process, and even network boundaries.
A lightweight .NET 8 message bus library built on RabbitMQ for ASP.NET Core applications. Provides simple publish-subscribe patterns, typed consumers, broadcasting, automatic retries, and JWT integration. Visit GitHub for full documentation and examples.
Tensor (n-dimensional array) library for F# Core features: - n-dimensional arrays (tensors) in host memory or on CUDA GPUs - element-wise operations (addition, multiplication, absolute value, etc.) - basic linear algebra operations (dot product, SVD decomposition, matrix inverse, etc.) - reduction operations (sum, product, average, maximum, arg max, etc.) - logic operations (comparision, and, or, etc.) - views, slicing, reshaping, broadcasting (similar to NumPy) - scatter and gather by indices - standard functional operations (map, fold, etc.) Data exchange: - read/write support for HDF5 (.h5) - interop with standard F# types (Seq, List, Array, Array2D, Array3D, etc.) Performance: - host: SIMD and BLAS accelerated operations - by default Intel MKL is used (shipped with NuGet package) - other BLASes (OpenBLAS, vendor-specific) can be selected by configuration option - CUDA GPU: all operations performed locally on GPU and cuBLAS used for matrix operations Requirements: - Linux, MacOS or Windows on x64 - Linux requires libgomp.so.1 installed. Additional algorithms are provided in the Tensor.Algorithm package.
Deterministic sharding primitives for .NET: consistent hash routing, modulo router, broadcasting, metrics hooks, migration scaffold.
The XDMessaging library provides an easy-to-use, zero configuration solution to inter-process communication for .NET applications. It provides a simple API for broadcasting and receiving messages across application domain and process. Lite version excludes network propagation functionality.
xtensor, xtl and xtensor-blas. This is an unofficial installation, we still recommend using conda installation
A MOTD and broadcasting plugin for OpenMod
DotTorch Core is the foundational .NET 8/9 library for high-performance tensor computations with full support for automatic differentiation (autograd), broadcasting, and computational graph tracing. Ideal for deep learning and scientific computing applications.
A MOTD and broadcasting plugin for OpenMod
Provides an implementation of the protocols for using the Broadcasting and Shared Memory interfaces of the Assetto Corsa Cometizione racing simulator
A flexible and extensible .NET library for custom logging, supporting multiple logging engines, log broadcasting, and contextual logging with file path customization.
Lets you create applications with event publishers and subscribers. Publishers communicate LOCALLY with subscribers by broadcasting events, Hangfire will process these events in the background via implemented handlers