Based on our record, React Native seems to be a lot more popular than Metaflow. While we know about 218 links to React Native, we've tracked only 12 mentions of Metaflow. 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.
1. React Native: Transition into Mobile Development with React Native, allowing you to reuse JavaScript knowledge. The official React Native documentation is a good starting point. - Source: dev.to / about 12 hours ago
Enter React, React Native, and Expo. By unifying our development stack, we streamlined our workflow considerably. Yet, one crucial piece was missing: a comprehensive library for essential tasks like icons and components. As we delved further into our development journey, we realized there were more gaps to fill, including robust boilerplates and other essential necessities. - Source: dev.to / 13 days ago
The best option is probably Flutter right now: https://flutter.dev/ If you don't mind writing the UI native, sharing only business logic code, Kotlin is an option: https://kotlinlang.org/docs/multiplatform.html#kotlin-multiplatform-use-cases Kotlin also can do the UI if you use Compose: https://www.jetbrains.com/lp/compose-multiplatform/ ... however, iOS support is still in alpha, and Web is "experimental". If... - Source: Hacker News / 18 days ago
On my last post I talked about how I recently started learning react native to build an idea I've had for a mobile app, this time around I want to dive a little deeper into react native. - Source: dev.to / 20 days ago
I know, real original 🙄, but I had to as this is my inaugural post on Dev.to! I've been toying with the idea of writing a blog for some time now, and figured since I'm starting a new project, this is the best time for it. I've been somewhat familiar with React.js for a while now and wanted to make the jump over to React Native to capitalize on an idea I've had for a few years. I'll be blogging about the progress... - Source: dev.to / 21 days 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
jQuery - The Write Less, Do More, JavaScript Library.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Flutter - Build beautiful native apps in record time 🚀
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Babel - Babel is a compiler for writing next generation JavaScript.
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...