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Tag: Data pipelines and messaging
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Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

  • python
  • luigi
  • orchestration-framework
  • scheduling

A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!

  • mqtt
  • m2m
  • scalable
  • broker

HiveMQ CE is a Java-based open source MQTT broker that fully supports MQTT 3.x and MQTT 5. It is the foundation of the HiveMQ Enterprise Connectivity and Messaging Platform

A lightweight, high-performance go mqtt server(v3.0|v3.1.1|v5.0) supporting distributed cluster

Microservices library - scalecube-services is a high throughput, low latency reactive microservices library built to scale. It features: API-Gateways, service-discovery, service-load-balancing, the architecture supports plug-and-play service communication modules and features. built to provide performance and low-latency real-time stream-processing

The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink.

A simple mediator for .Net for sending command, publishing event and request response with pipelines supported

Silverback is a message bus and broker integration library for .NET. It is designed to simplify event-driven architectures and asynchronous messaging, with first-class support for Apache Kafka and MQTT.

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

  • isolation-forest
  • spark
  • linkedin
  • outlier-detection

An opinionated Elixir wrapper around brod, the Erlang Kafka client, that supports encrypted connections to Heroku Kafka out of the box.

:incoming_envelope: A fast Message/Event Hub using publish/subscribe pattern with support for topics like* rabbitMQ exchanges for Go applications

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Open-source streaming SQL engine written in Rust using Apache Arrow and DataFusion. Supports continuous queries, temporal stream joins, tumbling/session windows, and CDC/Kafka connectors. Lightweight, embeddable, and sub-microsecond latency

A simple embeddable scripting language which supports concurrent event processing.