Ray

Ray

Anyscale
+
+

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About

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

About

Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

ML and AI Engineers, Software Developers

Audience

Developers interested in a powerful MLOps and LLMOps suite

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source. Consumption-based.
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Anyscale
Founded: 2019
United States
ray.io

Company Information

Weights & Biases
Founded: 2017
United States
wandb.ai/site

Alternatives

Alternatives

Keepsake

Keepsake

Replicate

Categories

Deep Learning Supported
Machine Learning Supported

Categories

Integrations

TensorFlow Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Anyscale Supported
Azure Kubernetes Service (AKS) Supported
Dask Supported
Disco.dev Not Supported
Feast Supported
Google Cloud Platform Supported
Google Kubernetes Engine (GKE) Supported
Keras Not Supported
Kubernetes Supported
Lightly Not Supported
Ludwig Not Supported
MLflow Supported
PyTorch Supported
Python Supported
Snowflake Supported
Tune AI Not Supported
ZenML Not Supported

Integrations

TensorFlow Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Anyscale Not Supported
Azure Kubernetes Service (AKS) Not Supported
Dask Not Supported
Disco.dev Supported
Feast Not Supported
Google Cloud Platform Not Supported
Google Kubernetes Engine (GKE) Not Supported
Keras Supported
Kubernetes Not Supported
Lightly Supported
Ludwig Supported
MLflow Not Supported
PyTorch Not Supported
Python Not Supported
Snowflake Not Supported
Tune AI Supported
ZenML Supported
Claim Ray and update features and information
Claim Ray and update features and information
Claim Weights & Biases and update features and information
Claim Weights & Biases and update features and information