Alternatives and similar repositories for ray_beam_runner

Users that are interested in ray_beam_runner are comparing it to the libraries listed below

• ray-project / deltacat
  A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to you…
  ☆265Updated this week
• project-codeflare / rayvens
  Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.
  ☆50Updated 3 years ago
• anyscale / airflow-provider-ray
  Ray provider for Apache Airflow
  ☆47Updated last year
• ray-project / raydp
  RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
  ☆359Updated 3 weeks ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆152Updated last year
• delta-incubator / deltatorch
  ☆59Updated 2 years ago
• ucbrise / flor
  FlorDB 🌻
  ☆158Updated 3 months ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆59Updated 3 years ago
• flyteorg / flytekit
  Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
  ☆302Updated this week
• ray-project / enhancements
  Tracking Ray Enhancement Proposals
  ☆61Updated 3 weeks ago
• nums-project / nums
  A library that translates Python and NumPy to optimized distributed systems code.
  ☆131Updated 3 years ago
• ryantd / veloce
  WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
  ☆17Updated 3 years ago
• logicalclocks / maggy
  Distribution transparent Machine Learning experiments on Apache Spark
  ☆91Updated last year
• flyteorg / flytesnacks
  Flyte Documentation 📖
  ☆86Updated 9 months ago
• ray-project / mobius
  Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.
  ☆99Updated last year
• mlspec / MLSpec
  Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…
  ☆94Updated last year
• dask / dask-cloudprovider
  Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
  ☆145Updated 3 months ago
• google / space
  Unified storage framework for the entire machine learning lifecycle
  ☆155Updated last year
• ray-project / plasma
  A minimal shared memory object store design
  ☆59Updated 9 years ago
• ibis-project / ibis-substrait
  Ibis Substrait Compiler
  ☆108Updated last week
• datafusion-contrib / ray-sql
  Distributed SQL Query Engine in Python using Ray
  ☆246Updated last year
• modin-project / unidist
  Unified Distributed Execution
  ☆57Updated last year
• dask / dask-gateway
  A multi-tenant server for securely deploying and managing Dask clusters.
  ☆143Updated last week
• ray-project / pygloo
  Pygloo provides Python bindings for Gloo.
  ☆22Updated 6 months ago
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆41Updated 2 years ago
• BryanCutler / SparkArrowFlight
  Example for simple Apache Arrow Flight service with Apache Spark and TensorFlow clients
  ☆37Updated 4 years ago
• delta-incubator / deltaray
  Delta reader for the Ray open-source toolkit for building ML applications
  ☆45Updated last year
• mlrun / storey
  real-time data + ML pipeline
  ☆53Updated 3 weeks ago
• rapidsai / dask-cuda
  Utilities for Dask and CUDA interactions
  ☆318Updated this week
• cylondata / cylon
  Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
  ☆301Updated last year