Based on our record, React seems to be a lot more popular than Apache Airflow. While we know about 782 links to React, we've tracked only 68 mentions of Apache Airflow. 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.
References React. (2022). A JavaScript library for building user interfaces. Retrieved from React. (2022). React 18 Announcement. Retrieved from Angular. (2022). The modern web developer's platform. Retrieved from Angular. (2022). Angular 15 Announcement. Retrieved from React. (2022). React Release Notes. Retrieved from Angular. (2022). Angular Versions. Retrieved from. - Source: dev.to / 4 days ago
React - A JavaScript library for building user interfaces. - Source: dev.to / 25 days ago
On the back end, we worked to migrate data from Spark (a data processing engine) to a custom, in-house RETS (real estate transaction standard) aggregator, which helped dramatically grow the customer base. We also moved Agent Inbox to a hybrid solution using React.js and Ruby on Rails, replacing their single-page-application solution with server-side rendering to improve project stability and speed. (This move came... - Source: dev.to / 29 days ago
How to start using React components written in TypeScript using Ruby on Rails as a server with only built-in Rails features? There are a couple of ways we can achieve it with. - Source: dev.to / 29 days ago
It's time to write our second application, where there will be a list of schemes, processes, and a Workflow Designer with the ability to start a process and see its status. We will use create-react-app template to create a simple React application. Open your console and go to the folder react-example, then execute following commands:. - Source: dev.to / about 2 months ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 16 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 27 days ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 2 months ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 5 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 8 months ago
Vue.js - Reactive Components for Modern Web Interfaces
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Next.js - A small framework for server-rendered universal JavaScript apps
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Svelte - Cybernetically enhanced web apps
Make.com - Tool for workflow automation (Former Integromat)