Repository Index

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

Real-time monitor and web admin for Celery distributed task queue

• celery
• task-queue
• monitoring
• administration

Python Stream Processing

• kafka-streams
• kafka
• python
• asyncio

Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.

• asyncio
• kafka
• python
• rabbitmq

Python Stream Processing. A Faust fork

• asyncio
• python-streaming
• kafka
• redis

A library for event sourcing in Python.

• domain-driven-design
• ddd
• eventsourcing
• cqrs

Distributed Deep learning with Keras & Spark

• spark
• keras
• neural-networks
• deep-learning

MLBox is a powerful Automated Machine Learning python library.

• machine-learning
• auto-ml
• kaggle
• deep-learning

PySpark + Scikit-learn = Sparkit-learn

• scikit-learn
• apache-spark
• machine-learning
• distributed-computing

Stream Processing Made Easy

• machine-learning
• reactive-programming
• kafka
• reactive-systems

Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.

• collaborative-editing
• conflict-resolution
• crdt
• data-engineering