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Based on our record, Mage AI should be more popular than Metaflow. It has been mentiond 26 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.
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year 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: over 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 / almost 2 years ago
Want to work on Mage, a modern replacement for Airflow? Source: over 1 year ago
You could also check mage. https://github.com/mage-ai/mage-ai It is developed by former engineers of AirBnb too. Source: over 1 year ago
Disclaimer: I worked at Airbnb for 5+ years working on data tools like Airflow and I helped start Mage almost 2 years ago. Source: over 1 year ago
Here is an easy to use data pipeline tool (free) with a user friendly UI: https://github.com/mage-ai/mage-ai. Source: over 1 year ago
You can also check out the repo here: https://github.com/mage-ai/mage-ai. - Source: Hacker News / over 1 year ago
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Versatile Data Kit - An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
Caravel - Visual, intuitive, and interactive data exploration platform
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development