The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.

Visually explore, understand, and present your data.

Azure Machine Learning SDK for R

Schema decoration for inference code

A flexible, high-performance serving system for machine learning models

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Command line parsing, invocation, and rendering of terminal output.

VS2022 Add-in. Click on any method or class to see what .NET Core's JIT generates for them (ASM).

Local Forwarder is an agent that collects Application Insights or OpenCensus telemetry from a variety of SDKs and routes it to the Application Insights backend.

A purpose-built proxy for the Linkerd service mesh. Written in Rust.

Fast persistent recoverable log and key-value store + cache, in C# and C++.

Efficient video analysis at scale

R configurations for Docker

Dapper - a simple object mapper for .Net

Linq to database provider.

User interface for recording and managing ETW traces

Easily deploy models to FPGAs for ultra-low latency with Azure Machine Learning powered by Project Brainwave

Interface to ZeroMQ

R package for ZMQ

Accelerate your web app development | Build fast. Run fast.

Powerful classes for http requests and responses

Routing of Web Requests in R

Turn your R code into a web API.

A flexible and lightweight web server

R package for accessing .NET

Microsoft Machine Learning Server Excel Add-in

A native functional ASP.NET Core web framework for F# developers.

Benchmarks of popular .net web frameworks

Syberia: The development framework for R