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.
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
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
Data-Centric Pipelines and Data Versioning
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
A lightweight data processing framework built on DuckDB and 3FS.
- data-processing
- duckdb
A modular implementation of timely dataflow in Rust
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
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
- graph
- graph-computation
- graph-neural-networks
- gremlin
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
- data-analysis
- root-cern
- root
- c-plus-plus
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.
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
A Scala API for Apache Beam and Google Cloud Dataflow.
- scala
- bigquery
- google-cloud
- beam
A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis