The soketi server is built on top of uWebSockets.js - a C application ported to Node.js. uWebSockets.js is demonstrated to perform at levels 8.5x that of Fastify and at least 10x that of Socket.IO. It implements the Pusher Protocol v7. Therefore, any Pusher-maintained or compatible client can connect to it, bringing a plug-and-play experience for existing applications that are already compatible with this protocol.

Soketi - Just another simple, fast, and resilient open-source WebSockets server

OmniSciDB is the foundation of the OmniSci platform. OmniSciDB is SQL-based, relational, columnar and specifically developed to harness the massive parallelism of modern CPU and GPU hardware. OmniSciDB can query up to billions of rows in milliseconds, and is capable of unprecedented ingestion speeds, making it the ideal SQL engine for the era of big, high-velocity data.
 
OmniSciDB optimizes the memory and compute layers to deliver unprecedented performance. OmniSciDB was designed to keep hot data in GPU memory for the fastest access possible. Other GPU database systems have taken the approach of storing the data in CPU memory, only moving it to GPU at query time, trading the gains they receive from GPU parallelism with transfer overheads over the PCIe bus.
 
OmniSciDB natively supports standard SQL and returns query results hundreds of times faster than CPU-only analytical database platforms. Analysts and data scientists can still rely on their existing SQL knowledge, querying data using industry-standard SQL.

OmniSciDB is the foundation of the OmniSci platform. OmniSciDB is SQL-based, relational, columnar and specifically developed to harness the massive parallelism of modern CPU and GPU hardware. OmniSciDB can query up to billions of rows in milliseconds, and is capable of unprecedented ingestion speeds, making it the ideal SQL engine for the era of big, high-velocity data.

OmniSciDB - Open Source Analytical Database & SQL Engine

The Sanity Studio is an open-source CMS built with React.js. It offers rapid configuration and free form customization. It ships as an open-source single page application. Install plugins from npm or build your own. Integrate Sanity in your applications. It provides instant updates, describe content models, validations, and UI structures in JavaScript and see them instantly hot-reload in the next window.
 
It supports efficient workflows for editing, organizing, and enhancing your content. Sanity was built for real-time from the ground up. The real-time capabilities not only gives you very fine-grained keystroke level audit logs. It also means that there’s no locking and that multiple people can work on the same document at once.

The Sanity Studio is an open-source CMS built with React.js. It offers rapid configuration and free form customization. It ships as an open-source single page application. Install plugins from npm or build your own. Integrate Sanity in your applications. It provides instant updates, describe content models, validations, and UI structures in JavaScript and see them instantly hot-reload in the next window.

The Sanity Content Studio – Collaborate in real-time on structured content

The Zephyr Project is a scalable real-time operating system (RTOS) supporting multiple hardware architectures, optimized for resource constrained devices, and built with security in mind. The Zephyr OS is based on a small-footprint kernel designed for use on resource-constrained systems: from simple embedded environmental sensors and LED wearables to sophisticated smart watches and IoT wireless gateways.
 
The Zephyr kernel supports multiple architectures, including ARM Cortex-M, Intel x86, ARC, Nios II, Tensilica Xtensa, and RISC-V, and a large number of supported boards. 
 
Its features include Extensive suite of Kernel services, Multiple Scheduling Algorithms, Highly configurable / Modular for flexibility, Cross Architecture, Memory Protection, Compile-time resource definition, Optimized Device Driver Model, Devicetree Support, Bluetooth Low Energy 5.0 support, Non-volatile storage (NVS), Powerful multi-backend logging Framework, Virtual File System Interface with LittleFS and FATFS Support.

The Zephyr Project is a scalable real-time operating system (RTOS) supporting multiple hardware architectures, optimized for resource constrained devices, and built with security in mind. The Zephyr OS is based on a small-footprint kernel designed for use on resource-constrained systems: from simple embedded environmental sensors and LED wearables to sophisticated smart watches and IoT wireless gateways.

Zephyr - Scalable real-time operating system (RTOS) supporting multiple hardware architectures

Yjs is a modular building blocks for building collaborative applications like Google Docs and Figma. Yjs is a high-performance CRDT for building collaborative applications that sync automatically. It exposes its internal CRDT model as shared data types that can be manipulated concurrently. Shared types are similar to common data types like Map and Array. They can be manipulated, fire events when changes happen, and automatically merge without merge conflicts.


Yjs - Modular building blocks for building collaborative applications like Google Docs and Figma

Meething is a semi-decentralized conference bridge using modern WebRTC, GunDB and MediaSoup to produce a hybrid MESH-SFU with strong privacy, zero user data retention and powerful off-grid capabilities.

Meething - Decentralized Real-time communications

HedgeDoc (formerly known as CodiMD) is an open-source, web-based, self-hosted, collaborative markdown editor. You can use it to easily collaborate on notes, graphs and even presentations in real-time. All you need to do is to share your note-link to your co-workers and they’re ready to go.

HedgeDoc - The best platform to write and share markdown

This is a library and command-line tool to read, write, and generally work with DICOM medical image files in native Go. The goal is to build a full-featured, high-performance, and readable DICOM parser for the Go community.
<ul>
<li>Parse multi-frame DICOM imagery (both encapsulated and native pixel data)</li>
<li> Channel-based streaming of <code>Frame</code>s to a client as they are parsed out of the dicom</li>
<li> Cleaner Go Element and Dataset representations (in the absense of Go generics)</li>
<li> Better support for icon image sets in addition to primary image sets</li>
<li> Write and encode Datasets back to DICOM files</li>
<li> Enhanced testing and benchmarking support</li>
<li> Modern, canonical Go.</li>
</ul>

This is a library and command-line tool to read, write, and generally work with DICOM medical image files in native Go. The goal is to build a full-featured, high-performance, and readable DICOM parser for the Go community.

dicom - High Performance DICOM Medical Image Parser in Go

Open Distro for Elasticsearch is an Apache 2.0-licensed distribution of Elasticsearch enhanced with Enterprise Security, Alerting, SQL, Index Management, k-Nearest Neighbor Search, Performance Analyzer and more. 
 
It provides set of features to help you keep your data secure and stay compliant with regulations such as GDPR, HIPAA, PCI, and ISO. Whether you want to encrypt data in-transit, authenticate users against Active Directory, use Kerberos or JSON web tokens for single sign-on (SSO), or monitor and log any malicious access attempts, Open Distro for Elasticsearch has you covered.
 
It provides support to extract insights out of Elasticsearch using the familiar SQL query syntax. Use aggregations, group by, and where clauses to investigate your data. Read your data as JSON documents or CSV tables so you have the flexibility to use the format that works best for you

Open Distro for Elasticsearch is an Apache 2.0-licensed distribution of Elasticsearch enhanced with Enterprise Security, Alerting, SQL, Index Management, k-Nearest Neighbor Search, Performance Analyzer and more. 


Open Distro for Elasticsearch  - Elasticsearch enhanced with enterprise security, alerting, SQL, and more

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