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

Cube is an open-source system for visualizing time series data. If you send timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. For example, you might use Cube to monitor traffic to your website, counting the number of requests in 5-minute intervals.

Cube - Time Series Visualization

 A high performance websocket server library powering Stack Overflow. 

NetGain -  A high performance websocket server library powering Stack Overflow. 

Storm is a distributed real time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real time processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. 
Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed.

Storm is a distributed real time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real time processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. 

Apache Storm - Distributed and fault-tolerant realtime computation

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

Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Gephi is a tool for people that have to explore and understand graphs. It helps data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing. 

 It supports Real-time visualization, Dynamic Network Analysis, Metrics, Cartography, Clustering and hierarchical graphs etc. It is modular based design and therefore allows developers to add and extend functionalities.

Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs. Gephi is a tool for people that have to explore and understand graphs. It helps data analysts to make hypothesis, intuitively discover patterns, isolate structure singularities or faults during data sourcing.

gephi - Open Graph Viz Platform

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

Dashku is a web application for creating dashboards and widgets in HTML, CSS, and JavaScript.

Dashku - Realtime Dashboard and Widgets

Kudu is a storage system for tables of structured data. Kudu provides a combination of fast inserts/updates and efficient columnar scans to enable multiple real-time analytic workloads across a single storage layer. As a new complement to HDFS and Apache HBase, Kudu gives architects the flexibility to address a wider variety of use cases without exotic workarounds.

Kudu - Hadoop storage layer to enable fast analytics on fast data

Centrifugal organization is a set of tools to add real-time features on your web site. It brings together several repositories linked by a common purpose – give you a complete and ready to use solution when you want to add real-time events into your web application like Chats, Real-time charts, Notifications, Various counters and even games. 

Centrifugal - Real time messaging in Web applications

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

A real-time comment engine with support for anonymous or authenticated posts.

Comments App - A real-time, markdown-enabled comment engine powered by leveldb with oauth support

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