Showing 7 open source projects for "broker"

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  • 1
    Celery

    Celery

    Distributed task queue (development branch)

    ...A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages, usually using a broker to mediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. A Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language.
    Downloads: 39 This Week
    Last Update:
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  • 2
    Brighter

    Brighter

    A framework for building messaging apps with .NET and C#

    ...As such it can be used to improve performance by introducing concurrency using a queue, and/or as an integration strategy between Microservices using messaging via a lightweight broker. Brighter provides support for CQRS architecture. It provides a simple library for routing commands and events to handlers. Brighter allows you to offload work from your web process to a worker process via a task queue. This allows in or out-of-process handlers. Brighter can act as a communications library for microservices, allowing commands or events to be passed between services.
    Downloads: 1 This Week
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  • 3
    Cortex AI Infrastructure

    Cortex AI Infrastructure

    Open-source multi-chain data routing & low-latency scanning framework.

    ...Polymarket Analytics Engine: Tracks open prediction markets and volume anomalies using high-throughput CLOB data streams. 3. Solana & TON Node Routing: An asynchronous broker client optimized for private RPC nodes, tailored for high-frequency solana trading bot execution loops and automated TON/USDT spread environments (sub-28ms processing). 4. Automation Core: Integrates diagnostics for Web3 interactions (zkSync, LayerZero, Scroll) and built-in MEV-Shield frontrunning protection algorithms. The framework is non-custodial,
    Downloads: 4 This Week
    Last Update:
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  • 4
    Emitter

    Emitter

    High performance, distributed, low latency publish-subscribe platform

    Emitter is a real-time communication service for connecting online devices. The Publish-Subscribe messaging API is built for speed and security. The simple and efficient messaging platform for all of your gaming, IoT and web apps. Emitter can be used for online gaming and mobile apps by satisfying the requirements for low latency, binary messaging, and high throughput. It can also be used for real-time web applications such as dashboards or visual analytics or chat systems. Moreover, Emitter...
    Downloads: 5 This Week
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  • 5
    ProxyPool

    ProxyPool

    An Efficient ProxyPool with Getter, Tester and Server

    Simple and efficient proxy pool, providing the following functions. Regularly crawl free proxy websites, easy and scalable. Use Redis to store brokers and sort broker availability. Regular testing and screening to eliminate unavailable proxies and leave available proxies. Provides a proxy API to randomly select available proxies that pass the test. The principle analysis of the proxy pool can be seen in " How to Build an Efficient Proxy Pool ". It is recommended to read it before using it. There are two ways to run the proxy pool, one is using Docker (recommended), and the other is the normal way.
    Downloads: 0 This Week
    Last Update:
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  • 6
    SocketCluster

    SocketCluster

    Highly scalable realtime pub/sub and RPC framework

    ...All necessary Kubernetes .yaml files are provided. After deploying your app to a Kubernetes cluster, you can scale indefinitely by using the kubectl scale deployment command to add more SCC-worker and SCC-broker instances as needed. You can perform asynchronous operations anywhere along a socket's inbound or outbound stream without any risk of disrupting the message processing order. Awaiting asynchronous actions along a socket's inbound or outbound streams can cause messages to pile up.
    Downloads: 23 This Week
    Last Update:
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  • 7
    Django Celery

    Django Celery

    Old Celery integration project for Django

    ...A task queue’s input is a unit of work called a task. Dedicated worker processes constantly monitor task queues for new work to perform. Celery communicates via messages, usually using a broker to mediate between clients and workers. To initiate a task the client adds a message to the queue, the broker then delivers that message to a worker. Celery requires a message transport to send and receive messages.
    Downloads: 4 This Week
    Last Update:
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