Alibaba JStorm is an enterprise fast and stable streaming process engine. It runs program up to 4x faster than Apache Storm. It is easy to switch from record mode to mini-batch mode. It is not only a streaming process engine. It means one solution for real time requirement, whole realtime ecosystem.


jstorm - Enterprise Stream Process Engine

Wekan is a collaborative kanban board application.Whether you’re maintaining a personal todo list, planning your holidays with some friends, or working in a team on your next revolutionary idea, Kanban boards are an unbeatable tool to keep your things organized. They give you a visual overview of the current state of your project, and make you productive by allowing you to focus on the few items that matter the most.

Wekan - The open-source kanban (built with Meteor)

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

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

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

Rickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors etc. It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS.
 <img src="/AppImages/Article/rickshaw_img1.png" alt="" class="float-center">

Rickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors etc. It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS.

Rickshaw - Interactive Time Series Graphs in JavaScript

Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time. Vespa is serving platform for Yahoo.com, Yahoo News, Yahoo Sports, Yahoo Finance, Yahoo Gemini, Flickr.
 Queries can use both structured filters and unstructured text search to select data. All the matching data is then ranked according to a ranking function - typically machine learned - to implement such use cases as search relevance, recommendation, targeting and personalization.
 
Vespa is scalable. System sizes up to hundreds of nodes handling tens of billions of documents are not uncommon, and no harder to set up and modify than single node systems. Since all system components, as well as stored data is redundant and self-correcting, hardware failures are not operational emergencies and can be handled by re-adding capacity when convenient.
Its feature include:
<ul>
<li>Text search - Combine structured query and text search to select data</li>
<li>Advanced Ranking - Machine learned ranking</li>
<li>Aggregation</li>
<li>Elastic, Scalable</li>
<li>High Availability</li>
<li>Auto repair data corruption</li>
<li>Simple HTTP API interface&nbsp;</li>
<li>lot more...</li>
</ul>

Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time. Vespa is serving platform for Yahoo.com, Yahoo News, Yahoo Sports, Yahoo Finance, Yahoo Gemini, Flickr.

Vespa - Yahoo's big data serving engine

ASP.NET SignalR is a library for ASP.NET developers that makes it incredibly simple to add real-time web functionality to your applications. It's the ability to have your server-side code push content to the connected clients as it happens, in real-time. SignalR also provides a very simple, high-level API for doing server to client RPC (call JavaScript functions in your clients' browsers from server-side .NET code) in your ASP.NET application.

SignalR - Incredibly simple real-time web for .NET

ejabberd is a distributed, fault-tolerant technology that allows the creation of large-scale instant messaging applications. The server can reliably support thousands of simultaneous users on a single node and has been designed to provide exceptional standards of fault tolerance. As an open source technology, based on industry-standards, ejabberd can be used to build bespoke solutions very cost effectively.

ejabberd - Robust, Scalable and Extensible XMPP Server

ClickHouse is an open source column-oriented database management system capable of real time generation of analytical data reports using SQL queries. It is Linearly Scalable, Blazing Fast, Highly Reliable, Fault Tolerant, Data compression, Real time query processing, Web analytics, Vectorized query execution, Local and distributed joins. It can process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second.

ClickHouse - Columnar DBMS and Real Time Analytics

Pilosa is an open source, distributed bitmap index that dramatically accelerates continuous analysis across multiple, massive data sets.  Pilosa collapses the speed and batch layer by abstracting the index from data storage, optimizing it for massive scale, and making your data instantly queryable and continuously analyzable. 

Pilosa - Distributed bitmap index that dramatically accelerates queries across multiple, massive data sets

Ratchet is a loosely coupled PHP library providing developers with tools to create real time, bi-directional applications between clients and servers over WebSockets. A PHP 5.3 library for asynchronously serving WebSockets. Build up your application through simple interfaces and re-use your application without changing any of its code just by combining different components.

Ratchet - PHP WebSocket library

Hazelcast Jet is a distributed computing platform built for high-performance stream processing and fast batch processing. It embeds Hazelcast In-Memory Data Grid (IMDG) to provide a lightweight, simple-to-deploy package that includes scalable in-memory storage. Hazelcast Jet performs parallel execution to enable data-intensive applications to operate in near real-time.
 
Hazelcast Jet gives you all the infrastructure you need to build a distributed data processing pipeline within one 10Mb Java JAR: processing, storage and clustering. Hazelcast Jet comes with in-memory operational storage that’s available out-of-the box. This storage is partitioned, distributed and replicated across the Hazelcast Jet cluster for capacity and resiliency. It can be used as an input data buffer, to publish the results of a Hazelcast Jet computation, to connect multiple Hazelcast Jet jobs or as a lookup cache for data enrichment.

Hazelcast Jet is a distributed computing platform built for high-performance stream processing and fast batch processing. It embeds Hazelcast In-Memory Data Grid (IMDG) to provide a lightweight, simple-to-deploy package that includes scalable in-memory storage. Hazelcast Jet performs parallel execution to enable data-intensive applications to operate in near real-time.

Hazelcast Jet - A general purpose distributed data processing engine, built on top of Hazelcast.

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

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

Discover open source projects across all platforms

Projects