Apache Airflow might be a bit more popular than Earthly. We know about 65 links to it since March 2021 and only 47 links to Earthly. 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.
Make is excellent if you use it properly to model your dependencies. This works really well for languages like C/C++, but I think Make really struggles with languages like Go, JavaScript, and Python or when your using a large combination of technologies. I've found Earthly [0] to be the _perfect_ tool to replace Make. It's a familiar syntax (combination of Dockerfiles + Makefiles). Every target is run in an... - Source: Hacker News / 8 days ago
Earthly solves this really well: https://earthly.dev They rethink Dockerfiles with really good caching support. - Source: Hacker News / 29 days ago
Earthly https://earthly.dev/ Fast, consistent builds with an instantly familiar syntax – like Dockerfile and Makefile had a baby. - Source: Hacker News / about 2 months ago
We are big fans of https://earthly.dev/! Although we haven't personally used Dagger, Earthly has solved our multi-service integration testing problem with elegance. Simple builds + caching baked in. - Source: Hacker News / 6 months ago
This one is ridiculous. This should already exist. Until GitHub builds it, you can use GitHub Actions to kick your builds off but run them remotely on Earthly Cloud (https://earthly.dev/). Even the free tier includes arm64 remote runners. Note: I work at Earthly, but I'm not wrong about this being a good, free, arm64-native workflow for GitHub Actions. - Source: Hacker News / 7 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 / 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
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
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.
CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.
Make.com - Tool for workflow automation (Former Integromat)