Apache Spark - A unified analytics engine for large-scale data processing
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Apache Spark - A unified analytics engine for large-scale data processing
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Parallel computing with task scheduling
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Apache Beam is a unified programming model for Batch and Streaming data processing.
Run MapReduce jobs on Hadoop or Amazon Web Services
A cluster computing framework for processing large-scale geospatial data
Apache DataFusion Ballista Distributed Query Engine
Python Stream Processing
A distributed task scheduler for Dask
Distributed Stream Processing
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
Python MapReduce library written in Cython. Visit us in #hadoopy on freenode. See the link below for documentation and tutorials.