Based on our record, Docker should be more popular than Metaflow. It has been mentiond 63 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.
Docker is a platform designed to simplify the process of building, shipping, and running applications. It uses containerization technology to package an application and its dependencies into a standardized unit, called a container. Containers are lightweight and portable, and ensure that the application runs consistently across different environments like Windows and Linux. - Source: dev.to / 7 days ago
To run locally you need to have Docker installed and running. - Source: dev.to / 5 months ago
To run the application locally, make sure you have Docker installed and running. This is required to run Encore applications with SQL databases. - Source: dev.to / 6 months ago
🥐 Let's try it! Make sure you have Docker installed and running, then run encore run in your terminal and you should see the service start up. - Source: dev.to / 6 months ago
Before running the application, make sure you have synced the project dependencies by running go mod tidy and that you have Docker installed and running. (Docker is required when running Encore applications locally that use SQL databases.). - Source: dev.to / 7 months 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: 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
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Rancher - Open Source Platform for Running a Private Container Service
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Portainer - Simple management UI for Docker
DepHell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...