Search Results for "broker"
Sort By:
Showing 8 open source projects for "broker"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
-
1
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. -
2
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. -
3
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, -
4
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... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
5
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. -
6
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. -
7
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. -
8
DotNet Proteus is a framework for creating messaging applications, and a message broker built upon that framework.
- Previous
- You're on page 1
- Next