Diff So Fancy VS Apache Airflow

Diff So Fancy Reviews

Apache Airflow Reviews

Diff So Fancy mentions (16)

• Difftastic, a structural diff tool that understands syntax

  The diff itself is impressive, but in terms of styling I still prefer diff-so-fancy[1]. It's easier to read at a glance. [1]: https://github.com/so-fancy/diff-so-fancy/. - Source: Hacker News / about 2 months ago

• Git Learnt

  This is actually one that's really easy to write and remember but I hate typing and I run it all the time, so I've aliased it down to gd for git-diff. Also I use diff-so-fancy to make the output of my diffs look frickin sweet and I suggest you do the same. - Source: dev.to / 12 months ago

• diff: can I increase highlighting of a file name?

  I recommend a tool like diff-so-fancy with some custom colors. You will never want to go back to vanilla diffs. Source: about 1 year ago

• diff: can I increase highlighting of a file name?

  Ok, thanks, diff-so-fancy is a good solution for me. Source: about 1 year ago

• TIL: diff-so-fancy; and some funky git config

  I just discovered diff-so-fancy, and very nice it is too. I immediately added it to my standard git config, which is semi-automatically installed on every machine I use. However, I've not (yet) installed diff-so-fancy on all the machines I use, and for those platforms for which it's not packaged I probably won't bother installing it from source. - Source: dev.to / over 1 year ago

Apache Airflow mentions (65)

• The 2024 Web Hosting Report

  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 / 3 months ago

• Best ETL Tools And Why To Choose

  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: 6 months ago

• Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow

  Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago

• Share Your favorite python related software!

  AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 7 months ago

• Ask HN: What is the correct way to deal with pipelines?

  I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 8 months ago