Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Airflow is a community-driven platform designed for the programmatic creation, scheduling, and monitoring of workflows. With its modular architecture, Airflow employs a message queue to manage an unlimited number of workers, making it highly scalable. The system is capable of handling complex operations through its ability to define pipelines using Python, facilitating dynamic pipeline generation. This flexibility enables developers to write code that can create pipelines on the fly. Users can easily create custom operators and expand existing libraries, tailoring the abstraction level to meet their specific needs. The pipelines in Airflow are both concise and clear, with built-in parametrization supported by the robust Jinja templating engine. Eliminate the need for complex command-line operations or obscure XML configurations! Instead, leverage standard Python functionalities to construct workflows, incorporating date-time formats for scheduling and utilizing loops for the dynamic generation of tasks. This approach ensures that you retain complete freedom and adaptability when designing your workflows, allowing you to efficiently respond to changing requirements. Additionally, Airflow's user-friendly interface empowers teams to collaboratively refine and optimize their workflow processes.
Description
Simplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.
API Access
Has API
No
API Access
Has API
Yes
Integrations
BentoML
Yes
Great Expectations
Yes
Amazon SageMaker
No
Apache Spark
No
Bitbucket
No
Cake AI
Yes
CrateDB
Yes
Foundational
Yes
Google Cloud Tekton
No
Hugging Face
No
Integrations
BentoML
Yes
Great Expectations
Yes
Amazon SageMaker
Yes
Apache Spark
Yes
Bitbucket
Yes
Cake AI
No
CrateDB
No
Foundational
No
Google Cloud Tekton
Yes
Hugging Face
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
airflow.apache.org
Vendor Details
Company Name
ZenML
Founded
2021
Country
United States
Website
zenml.io
Product Features
Workflow Management
Access Controls/Permissions
No
Approval Process Control
No
Business Process Automation
No
Calendar Management
No
Compliance Tracking
No
Configurable Workflow
No
Customizable Dashboard
No
Document Management
No
Forms Management
No
Graphical Workflow Editor
No
Mobile Access
No
No-Code
No
Task Management
No
Third Party Integrations
No
Workflow Configuration
No
Product Features
Machine Learning
Deep Learning
Yes
ML Algorithm Library
No
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
Yes
Visualization
Yes