This is a simple CmdPal Extension for quickly select a specific search engine to perform searches.
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This is a simple CmdPal Extension for quickly select a specific search engine to perform searches.
A Web framework for D Programming Language. Full-stack high-performance.
Provides tracing abstractions over tracers and tracing system reporters.
A full-stack .NET microservices build on Dapr and Tye
The Silky framework is designed to help developers quickly build a microservice development framework through simple code and configuration under the .net platform.
Adaptive hedged requests for Go. Cut your p99 latency with zero configuration. Based on Google's "The Tail at Scale" paper.
The Linux port of the Sysinternals Sysmon tool.
Silverback is a message bus and broker integration library for .NET. It is designed to simplify event-driven architectures and asynchronous messaging, with first-class support for Apache Kafka and MQTT.
Effortless Microservice Design and Integration. This repository includes the code-base for the Warewolf Studio and Server.
Monorepo of webcomponents and associated microservice apis
An simple, easily extensible and concurrent health-check library for Go services
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
Go library for reading and writing Microsoft Docx
Awesome D3D12 ecosystem
WiRL: RESTful Library for Delphi
Implementation of basic Todo app via tastejs/todomvc in C#/Typescript with eventsourcing, cqrs, and domain driven design
Learn Clean Architecture with .NET Core 3.0 :fire:
A Flask extension to access, upload, download, save and delete files on cloud storage providers such as: AWS S3, Google Storage, Microsoft Azure, Rackspace Cloudfiles, and even Local file system
A library and microservice implementing the health and care terminology SNOMED CT with support for cross-maps, inference, fast full-text search, autocompletion, compositional grammar and the expression constraint language.
C++20 Microservice Bootstrapping Framework
Automated 3D cell detection in very large images
Deep and Machine Learning for Microscopy
OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning