Ray

E438345

Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.

All labels observed (2)

Label Occurrences
Ray canonical 3
Ray Core 2

How this entity was disambiguated

Statements (51)

Predicate Object
instanceOf cluster computing framework ⓘ
distributed computing framework ⓘ
open-source software ⓘ
designedFor data processing workloads ⓘ
distributed computing ⓘ
machine learning workloads ⓘ
reinforcement learning workloads ⓘ
scaling Python applications ⓘ
developedBy Anyscale ⓘ
ecosystem Ray AI Runtime ⓘ
feature autoscaling ⓘ
distributed object store ⓘ
fault tolerance ⓘ
resource-aware scheduling ⓘ
task scheduling ⓘ
web-based dashboard ⓘ
hasComponent Ray Core ⓘ
linked to: Ray

Ray Dashboard ⓘ
Ray Data ⓘ
Ray RLlib ⓘ
linked to: RLlib

Ray Serve ⓘ
Ray Train ⓘ
Ray Tune ⓘ
Ray Workflows ⓘ
integratesWith AWS ⓘ
linked to: Amazon Web Services

Apache Spark ⓘ
Dask ⓘ
Google Cloud Platform ⓘ
linked to: Google Cloud

Kubernetes ⓘ
LightGBM ⓘ
Microsoft Azure ⓘ
linked to: Azure

PyTorch ⓘ
TensorFlow ⓘ
XGBoost ⓘ
scikit-learn ⓘ
license Apache License 2.0 ⓘ
originatedAt University of California, Berkeley ⓘ
originatedIn RISELab ⓘ
programmingLanguage Python ⓘ
repository https://github.com/ray-project/ray ⓘ
supports actor-based concurrency ⓘ
batch processing ⓘ
distributed training ⓘ
hyperparameter tuning ⓘ
model serving ⓘ
stream processing ⓘ
task parallelism ⓘ
supportsLanguage C++ ⓘ
Java ⓘ
Python ⓘ
website https://www.ray.io ⓘ

How these facts were elicited

Referenced by (5)

Full triples — surface form annotated when it differs from this entity's canonical label.

RLlib → developedOnTopOf → Ray ⓘ
Ray → hasComponent → Ray Core ⓘ
linked to: Ray
Ray Tune → partOf → Ray ⓘ
Ray Serve → integratesWith → Ray Core ⓘ
linked to: Ray