Projects in Awesome Lists tagged with producers

https://github.com/ffernandolima/confluent-kafka-core-dotnet

🚀 Kafka Core empowers developers to effortlessly build robust .NET applications on top of Confluent Kafka, focusing on simplicity, maintainability, and extensibility. With intuitive abstractions and builders, it introduces powerful features that enhance functionality and extend the official library's capabilities.

c-sharp consumers dotnet kafka kafka-client kafka-clients kafkacore producers workers

Last synced: 16 Aug 2025

https://github.com/chingu-voyages/v46-tier3-team-33

Add-project-description-here | Voyage-46 | https://chingu.io/ | Twitter: https://twitter.com/ChinguCollabs

consumers farmers fruit information producers vegetables

Last synced: 27 Aug 2025

https://github.com/ableinc/sampleit

Designed for producers, beatmakers and music creators. Grab an audio sample from Youtube, analyze it, and get its BPM and Scale. Powered by Able.

beatmakers creators desktop-application electron electron-app javascript music producers samples youtube

Last synced: 04 May 2026

https://github.com/andriykalashnykov/go-kafka-confluent-examples

Confluent Cloud Kafka examples in Go

confluent confluent-cloud confluent-kafka consumer docker docker-compose go golang kafka kubernetes producers

Last synced: 02 Jan 2026

https://github.com/prodbyeagle/beatforge

BeatForge is an Windows App for Producers

beats easy library producers

Last synced: 20 Mar 2025

https://github.com/siri-n-shetty/us-airline-sentiment-analysis

Mini project for the course Database Technologies (UE22CS343BB3)

batch-processing consumers kafka postgresql producers sliding-window spark tumbling-windows zookeeper

Last synced: 04 May 2026

https://github.com/mtholahan/kafka-mini-project

Built a streaming fraud detection system with Apache Kafka and Python. Deployed a Kafka cluster via Docker Compose, implemented a transaction generator and fraud detector using kafka-python, and routed suspicious transactions to separate topics for real-time monitoring. Demonstrates event streaming, producers, consumers, and containerization.

bootcamp consumers data-engineering docker docker-compose event-driven fraud-detection kafka producers python springboard streaming