Azkaban
Apache Airflow
Luigi
Apache Oozie
RunDeck
Jenkins
Shipyard
StackStorm
Metaflow
Apache Airflow
Luigi
Apache Oozie
Activeeon
DepHell
StackStorm
mypy
Azkaban| Categories |
|
|---|---|
| Website | azkaban.github.io |
| Details $ |
Metaflow| Categories |
|
|---|---|
| Website | metaflow.org |
| Details $ |
Based on our record, Metaflow should be more popular than Azkaban. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not sure if https://azkaban.github.io/ would fit your use case. Source: almost 2 years ago
I used this once, was pretty nice: https://azkaban.github.io/. Source: almost 2 years ago
Apache Azkaban is a batch workflow job scheduler to help developers run Hadoop jobs. The open-sourced platform “resolves ordering through job dependencies” and offers an intuitive web interface to help users maintain and track workflows. Source: almost 2 years ago
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: 12 months ago
1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago
Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago
They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago
Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / over 1 year ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Apache Oozie - Apache Oozie Workflow Scheduler for Hadoop
RunDeck - RunDeck is an open source automation service with a web console, command line tools and a WebAPI.
Activeeon - ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
