Apache Spark - A unified analytics engine for large-scale data processing
- python
- scala
- r
- java
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
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
Distributed Stream Processing
- stream-processing
- stream-processor
- stream-processing-engine
- pony-language
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Haskell on Apache Spark.
- apache-spark
- spark
- haskell
- analytics
Phoebus is a distributed framework for large scale graph processing written in Erlang.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
- apache-iceberg
- apache-spark
- data-engineering
- delta-lake
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