RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
☆374Jun 10, 2026Updated last month
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…☆282Apr 17, 2026Updated 3 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☆2,596Updated 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☆990Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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 3 years ago
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆130Sep 23, 2025Updated 9 months ago
- Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.☆1,576Updated this week
- Native SQL Engine plugin for Spark SQL with vectorized SIMD optimizations.☆255Feb 21, 2023Updated 3 years ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆43,297Updated this week
- BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray☆2,700Jun 12, 2026Updated last month
- 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…☆170Jul 4, 2026Updated 2 weeks ago
- A composable and fully extensible C++ execution engine library for data management systems.☆4,173Updated 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.☆1,262Mar 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☆5,644Updated this week
- MLFlow Deployment Plugin for Ray Serve☆47Apr 12, 2022Updated 4 years ago
- Ray-based Apache Beam runner☆42Aug 30, 2023Updated 2 years ago
- Apache Celeborn is an elastic and high-performance service for shuffle and spilled data.☆1,056Updated this week
- Tracking Ray Enhancement Proposals☆68Jun 1, 2026Updated last month
- Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.☆2,741Jan 2, 2024Updated 2 years ago
- Exoshuffle-CloudSort☆30Mar 2, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.☆50Nov 29, 2022Updated 3 years ago
- Distributed XGBoost on Ray☆153Jun 25, 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
- Integration between Lance and Ray for distributed data processing☆35Updated this week
- The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query process…☆1,778Updated this week
- High performance model preprocessing library on PyTorch☆641Mar 29, 2024Updated 2 years ago
- 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
- Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…☆1,888Jan 2, 2026Updated 6 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.☆1,835May 29, 2024Updated 2 years ago
- Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data ve…☆6,825Updated this week
- Cloud Scale Platform for Distributed Analytics and AI☆24Oct 12, 2023Updated 2 years ago
- A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.☆96Aug 28, 2024Updated last year
- Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.☆3,140Updated this week
- Optimized Spark package to accelerate machine learning algorithms in Apache Spark MLlib.☆22Jul 6, 2026Updated 2 weeks ago
- ☆30Aug 31, 2022Updated 3 years ago