Open-source alternatives to Hstream

Python Stream Processing

RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen

Lightweight data stream processing engine for IoT edge

Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

Akka.NET is an actor model framework used for building concurrent and distributed applications. It functions as a distributed computing platform and state manager that enables isolated actors to communicate via asynchronous message passing, ensuring thread-safe state management without manual locks. The project is distinguished by its decentralized coordination capabilities, including a distributed state manager that uses sharding and dynamic rebalancing to maintain high availability. It incorporates an event sourcing engine that persists state as a sequence of events in an append-only log an

flutter-go is a cross-platform UI framework and kit designed for building mobile and desktop applications using a Go backend and a Flutter frontend. It provides a communication bridge that enables Go functions to be executed from Dart code via a C-ABI foreign function interface. The project includes a Flutter UI component library and a frontend design gallery. These resources provide pre-designed interface patterns, reusable widgets, and interaction demos to assist with rapid application prototyping and consistent interface design across different operating systems. The framework covers nati

FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int

Ether.Network is a basic library to make quickly a simple server or client using sockets.

Highly Scalable Awesome React Starter Kit for an enterprise application with a very easy maintainable codebase. :fire:

Project similar to the Create React App for libraries and dependencies

Efficient reliable UDP unicast, UDP multicast, and IPC message transport - .NET port of Aeron

Zero-config React with built-in SSR, automated quality gates, and AI-ready project structure - ship clean code whether you write it yourself or with an AI assistant.

Flowbject is a high-level library whose aim is to help with writing state-machine flows. The concept is based on Amazon-State-Language.

Apache Beam is a distributed data pipeline framework and unified data processing model designed to handle both bounded batch data and unbounded real-time streams. It provides a system for building scalable, data-parallel workflows that operate across compute clusters using a single programming model. The framework utilizes a cross-runner pipeline abstraction that decouples the data processing logic from the underlying execution backend, allowing the same pipeline to run on different distributed compute engines. It supports multi-language pipeline development by translating high-level code fro

SPDX-License-Identifier: Apache-2.0

Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter

Mirror of Apache S4

Kafka is a distributed event streaming platform designed for capturing, storing, and processing real-time data streams across interconnected nodes. It functions as a distributed commit log, providing a fault-tolerant storage mechanism that records state changes sequentially to ensure data consistency and durability across distributed environments. The platform distinguishes itself through a partitioned commit log architecture that enables horizontal scaling and parallel processing of data streams. It integrates a stream processing engine for continuous transformations and aggregations, while

Apache DataFusion Ballista Distributed Query Engine

R package for an automatic transformation of an R function into a Shiny app

Storm is a distributed stream processing framework designed to execute unbounded computations across a cluster to process real-time data streams. It functions as a data pipeline orchestrator that allows users to define and deploy declarative data flow graphs connecting streaming sources to processing components. The system operates as a multi-tenant distributed compute engine that isolates workloads and limits resource usage across shared clusters using dedicated pools and access control. It is also a secure distributed processing engine that employs encrypted node communication and SSL-secur

Appercode UI Framework brings Windows Phone UI Object Model to iOS and Android.

(Deprecated!) SDK on top of nodejs to build desktop apps using HTML5/CSS/JS

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Mirror of Apache Apex core