RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
☆376Jun 10, 2026Updated 2 months ago
Alternatives and similar repositories for raydp
Users that are interested in raydp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to you…☆283Apr 17, 2026Updated 4 months ago
- Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.☆105Jun 21, 2024Updated 2 years ago
- A toolkit to run Ray applications on Kubernetes☆2,656Updated this week
- Distributed SQL Query Engine in Python using Ray☆245Oct 2, 2024Updated last year
- NVIDIA cuDF for Apache Spark plugin - accelerate Apache Spark with GPUs☆998Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Jan 5, 2023Updated 3 years ago
- WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.☆17Aug 4, 2022Updated 4 years ago
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆129Sep 23, 2025Updated 11 months ago
- Native SQL Engine plugin for Spark SQL with vectorized SIMD optimizations.☆255Feb 21, 2023Updated 3 years ago
- Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.☆1,593Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆43,654Updated this week
- BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray☆2,698Jun 12, 2026Updated 2 months ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. AntRay i…☆170Aug 8, 2026Updated 3 weeks ago
- A composable and fully extensible C++ execution engine library for data management systems.☆4,203Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- RayLLM - LLMs on Ray (Archived). Read README for more info.☆1,261Mar 13, 2025Updated last year
- Some microbenchmarks and design docs before commencement☆11Feb 1, 2021Updated 5 years ago
- High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale☆5,733Updated this week
- MLFlow Deployment Plugin for Ray Serve☆47Apr 12, 2022Updated 4 years ago
- Ray-based Apache Beam runner☆42Aug 30, 2023Updated 3 years ago
- Apache Celeborn is an elastic and high-performance service for shuffle and spilled data.☆1,061Updated this week
- Tracking Ray Enhancement Proposals☆68Aug 19, 2026Updated last week
- Exoshuffle-CloudSort☆30Mar 2, 2023Updated 3 years ago
- Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.☆50Nov 29, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Distributed XGBoost on Ray☆153Jun 25, 2024Updated 2 years ago
- Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.☆2,742Jan 2, 2024Updated 2 years ago
- Spark* shuffle plugin for support shuffling data through a remote Hadoop-compatible file system, as opposed to vanilla Spark's local-dis…☆21Mar 15, 2024Updated 2 years ago
- Ray tutorials from Anyscale☆637Jun 25, 2026Updated 2 months ago
- Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep le…☆695Nov 12, 2024Updated last year
- Integration between Lance and Ray for distributed data processing☆39Updated this week
- The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query process…☆1,797Updated this week
- Pytorch Lightning Distributed Accelerators using Ray☆215Nov 3, 2023Updated 2 years ago
- Examples on how to use LangChain and Ray☆231Jun 14, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data ve…☆7,002Updated this week
- High performance model preprocessing library on PyTorch☆641Mar 29, 2024Updated 2 years ago
- Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…☆1,892Jan 2, 2026Updated 7 months ago
- Intel® End-to-End AI Optimization Kit☆30Jul 18, 2024Updated 2 years ago
- Cloud Scale Platform for Distributed Analytics and AI☆24Oct 12, 2023Updated 2 years ago
- ☆15Mar 3, 2025Updated last year
- A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.☆97Aug 28, 2024Updated 2 years ago