Diffy is a regression test tool for css regression testing. Diffy verifies your deployments by taking screenshots of pages and comparing them to find the differences. Great for web developers to save time on testing. Allows to test multiple environments like comparing Staging VS. Production or "before" VS "after" the deployment. Can test hundreds of pages in multiple breakpoints with a rich toolset to avoid false positives. Takes nearly zero time to get started. Proprietary screenshots comparison algorithm.
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Based on our record, Apache Airflow seems to be a lot more popular than Diffy.website. While we know about 65 links to Apache Airflow, we've tracked only 5 mentions of Diffy.website. 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.
Typical... Never seen that before. Just to check https://diffy.website/? Source: about 2 years ago
There is also a service which can be integrated into your pipeline: https://diffy.website. - Source: Hacker News / about 2 years ago
I use Diffy for now, but I'm always searching for better ways. There are some command line tools that I plan to test when I have some extra bandwidth. Source: about 2 years ago
For the lazy geeks out there, the service diffy does this easily and for cheap: https://diffy.website/. - Source: Hacker News / over 2 years ago
Have you looked at using something like https://diffy.website/? I use that on my sites, and although it's a little pricier up-front, I've found it does a great job at catching visual changes. It doesn't catch everything though. Source: almost 3 years 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 / 3 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: 6 months ago
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
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
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
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