Apache Airflow might be a bit more popular than React Navigation. We know about 68 links to it since March 2021 and only 47 links to React Navigation. 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.
This is just a starting point for implementing navigation in React Native applications. You can further customize the navigation options, add animations, and integrate other features to enhance the user experience. React Navigation provides a robust foundation for building complex navigation patterns in your mobile apps. You can check out the official documentation here: React Navigation. - Source: dev.to / about 1 month ago
You're more than likely going to need https://reactnavigation.org/ for pages and tabs/bottom nav. Source: over 1 year ago
Wow, that's A LOT, but when You do a simple setup does it just work when You just follow the reactnavigation.org docs procedure? Because when I do I, First I get the error, node modules not found then after restarting my PC I get these error: FAILURE: Build completed with 2 failures. 1: Task failed with an exception. ----------- * Where: Build file 'C:\Users\user\Documents\WORK\ENGINEERING\PROJECTS\REACT... Source: over 1 year ago
Https://reactnavigation.org/ should fit your needs :). Source: over 1 year ago
All my apps up till now use React Navigation. Source: over 1 year ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 14 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 / 25 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
CodePush - CodePush is a cloud service that enables Cordova and React Native developers to deploy mobile app updates directly to their users' devices.
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.
React Native - A framework for building native apps with React
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Native Navigation - Application and Data, Mobile, and Cross-Platform Mobile Tools
Make.com - Tool for workflow automation (Former Integromat)