Laravel Reviews

Metaflow Reviews

Laravel mentions (201)

• Why We Don't have a Laravel for JavaScript… Yet

  And if you’re not familiar with tools like Laravel and Ruby-on-Rails, they are opinionated full-stack frameworks (for PHP and Ruby) with lots of built-in features that follow established conventions so that developers can write less boilerplate and more business logic, while getting the industry best practices baked into their app. - Source: dev.to / about 20 hours ago

• Generate a Laravel CRUD (Create, Read, Update, Delete) in 5 minutes.

  Laravel is excellent at building #PHP applications, and Backpack is excellent at building Laravel CRUDs & Admin Panel. Check out the wide variety of fields & columns it offers. - Source: dev.to / 5 days ago

• Laravel Passport: API authentication with access and refresh token

  In this tutorial, we are using the latest version of Laravel which is Laravel 11. - Source: dev.to / 8 days ago

• Introduction to APIATO: A Powerful Framework for API Development

  APIATO builds on the Laravel framework, utilizing its powerful features such as Eloquent ORM, routing, middleware, and more. This means that developers familiar with Laravel can easily transition to using APIATO. - Source: dev.to / 13 days ago

• How to Level Up Your Laravel Development

  Laravel is a popular framework for PHP, known for making web development easier and faster. To help you get even more productive with Laravel, we’ll look at three simple strategies: using Laravel Herd as your local host, upgrading to Laravel 11, and adding real-time communication with Laravel Reverb. - Source: dev.to / 13 days ago

Metaflow mentions (12)

• What are some open-source ML pipeline managers that are easy to use?

  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

• Needs advice for choosing tools for my team. We use AWS.

  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

• Selfhosted chatGPT with local contente

  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

• [OC] Gender diversity in Tech companies

  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

• Going to Production with Github Actions, Metaflow and AWS SageMaker

  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