nnn might be a bit more popular than Apache Airflow. We know about 75 links to it since March 2021 and only 68 links to 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.
If you want a file full browser experience choose nnn: https://github.com/jarun/nnn . If you have a desktop file for Helix you can use the Gnome Files program to make all your programming language files open in Helix. Source: 7 months ago
Nnn [1] seems like a more advanced tool (directory management, copying, renaming, packing/unpacking) and pluggable. [1] https://github.com/jarun/nnn. - Source: Hacker News / 10 months ago
In case you haven't come across nnn earlier, it is a tiny full-featured terminal file manager written for performance and productivity - https://github.com/jarun/nnn. Source: about 1 year ago
Another option is to create a file in the command line, but quitting from the editor can be a bit of a hassle. So, what we can do is split the screen with tmux or zellij. Use a file manager if you prefer visual. Personally use nnn. Source: over 1 year ago
I used your program for a little bit and it is a very nice effort. Although I would like to ask you, why not use nnn as a file manager which is insanely fast and has several functionalities as well. I am hoping you are aware of the project. 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 / 9 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 / 20 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 / 4 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
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