Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Repository Index
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Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Apache Beam is a unified programming model for Batch and Streaming data processing.
- python
- java
- big-data
- beam
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
- distributed-computing
- map-reduce
- golang
- distributed-systems
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis
Apache DataFusion Ballista Distributed Query Engine
- arrow
- big-data
- dataframe
- olap
A distributed task scheduler for Dask
- pydata
- dask
- distributed-computing
- python
Distributed Stream Processing
- stream-processing
- stream-processor
- stream-processing-engine
- pony-language
Phoebus is a distributed framework for large scale graph processing written in Erlang.
Distributed Temporal Graph Analytics with Apache Flink
- graph
- property-graph
- distributed-graph-analytics
- apache-flink
Python MapReduce library written in Cython. Visit us in #hadoopy on freenode. See the link below for documentation and tutorials.
The repository host gives no description.
Standard API for Distributed Data Structures in R
Distribute work across machines using the lparallel API.
Serverless ML Framework
Distributed batch data processing framework
Parallel Workflow extension for Rake, runs on multicores, clusters, clouds.
- ruby
- rake
- pwrake
- parallel
Common Lisp distributed computation framework implemented using Swank Client
Web application for distributed compute analysis of Archive-It web archive collections.