RayAnyscale
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Related Products
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About
Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams.
Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.
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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.
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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
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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
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Audience
Developers
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Audience
ML and AI Engineers, Software Developers
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Pricing
Free
Open source. Consumption-based.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationPathway
Founded: 2020
France
pathway.com
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Company InformationAnyscale
Founded: 2019
United States
ray.io
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Alternatives |
Alternatives |
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Categories |
Categories |
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Machine Learning Features
Deep Learning
Not Supported
ML Algorithm Library
Supported
Model Training
Not Supported
Natural Language Processing (NLP)
Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Not Supported
Artificial Intelligence Features
Chatbot
Supported
For eCommerce
Not Supported
For Healthcare
Not Supported
For Sales
Not Supported
Image Recognition
Not Supported
Machine Learning
Supported
Multi-Language
Not Supported
Natural Language Processing
Not Supported
Predictive Analytics
Supported
Process/Workflow Automation
Not Supported
Rules-Based Automation
Not Supported
Virtual Personal Assistant (VPA)
Not Supported
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Integrations
Python
Supported
Amazon S3
Supported
Amazon Web Services (AWS)
Not Supported
Apache Airflow
Not Supported
Apache Kafka
Supported
Databricks
Not Supported
Feast
Not Supported
Google Cloud Platform
Not Supported
Google Kubernetes Engine (GKE)
Not Supported
Kubernetes
Not Supported
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Integrations
Python
Supported
Amazon S3
Not Supported
Amazon Web Services (AWS)
Supported
Apache Airflow
Supported
Apache Kafka
Not Supported
Databricks
Supported
Feast
Supported
Google Cloud Platform
Supported
Google Kubernetes Engine (GKE)
Supported
Kubernetes
Supported
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