airflow-provider-flyte
Flyte Airflow Provider (by flyteorg)
docs
This repository contains all content and code for Astro and Astronomer Software documentation. (by astronomer)
airflow-provider-flyte | docs | |
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4 | 1 | |
9 | 50 | |
- | - | |
0.0 | 9.9 | |
almost 2 years ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
airflow-provider-flyte
Posts with mentions or reviews of airflow-provider-flyte.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-04.
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Airflow :: 資源整理
Flyte Provider for Apache Airflow
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Introducing Flyte (v1.1.0): Orchestrate Your Machine Learning and Data Pipelines with Ease (2.5K Stars on GitHub, Kubernetes-Native)
We have integrated Flyte with tools such as Spark, BigQuery, MPI, Sagemaker, Great Expectations, Pandera, etc. I’ve recently worked on building an Airflow provider for Flyte that enables triggering Flyte workflows from within Airflow; this is helpful if you want to build ETL pipelines in Airflow and machine learning pipelines in Flyte and use the two of them together.
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Is it possible to automatically deploy a ML pipeline to Airflow?
Hey u/eemamedo! Airflow's good for ETL, but may not be the best choice for ML pipelines because ML isn't the same as ETL and has a different set of requirements. I recently published Airflow Flyte Provider that enables you to seamlessly build and maintain your ML pipelines in Flyte from within Airflow. So you can write all your ETL/ELT pipelines in Airflow and ML pipelines in Flyte, and thereby, leverage the best of both worlds!
- Flyte Provider for Apache Airflow
docs
Posts with mentions or reviews of docs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-04.
-
Airflow :: 資源整理
Airflow + Amazon SageMaker
What are some alternatives?
When comparing airflow-provider-flyte and docs you can also consider the following projects:
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.