canarypy
CanaryPy - A light and powerful canary release for Data Pipelines (by thcidale0808)
dagster
An orchestration platform for the development, production, and observation of data assets. (by dagster-io)
canarypy | dagster | |
---|---|---|
2 | 47 | |
3 | 10,326 | |
- | 3.2% | |
7.3 | 10.0 | |
10 months ago | 5 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
canarypy
Posts with mentions or reviews of canarypy.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Ask HN: Open-Source Canary Release Tool – Seeking Your Feedback
I'm excited to introduce CanaryPy, a new open-source tool to make your data pipelines more robust by introducing new releases of your data pipelines minimising the impact of unanticipated issues. It has a plugin for Apache Airflow for now but more to come.
We'd love for you to check it out on GitHub: https://github.com/thcidale0808/canarypy
Your feedback and suggestions for improvement are precious to us. What features would you like to see? How's the usability? Would you have any thoughts on integration with your current tools?
Thank you in advance for your insights!
-
Introducing Canary Release Tool to integrate with Apache Airflow - Seeking Your Feedback!
We'd love for you to check it out on GitHub: https://github.com/thcidale0808/canarypy
dagster
Posts with mentions or reviews of dagster.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-16.
- Experience with Dagster.io?
-
Dagster tutorials
My recommendation is to continue on with the tutorial, then look at one of the larger example projects especially the ones named “project_”, and you should understand most of it. Of what you don't understand and you're curious about, look into the relevant concept page for the functions in the docs.
-
The Dagster Master Plan
I found this example that helped me - https://github.com/dagster-io/dagster/tree/master/examples/project_fully_featured/project_fully_featured
-
What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
-
The Why and How of Dagster User Code Deployment Automation
In Helm terms: there are 2 charts, namely the system: dagster/dagster (values.yaml), and the user code: dagster/dagster-user-deployments (values.yaml). Note that you have to set dagster-user-deployments.enabled: true in the dagster/dagster values-yaml to enable this.
-
Best Orchestration Tool to run dbt projects?
Dagster seemed really cool when I looked into it as an alternative to airflow. I especially like the software defined assets and built-in lineage which I haven't seen in any other tool. However it seems it does not support RBAC which is a pretty big issue if you want a self-service type of architecture, see https://github.com/dagster-io/dagster/issues/2219. It does seem like it's available in their hosted version, but I wanted to run it myself on k8s.
-
dbt Cloud Alternatives?
Dagster? https://dagster.io
-
What's the best thing/library you learned this year ?
One that I haven't seen on here yet: dagster
- Anyone have an example of a project where a handful of the more popular Python tools are used? (E.g. airbyte, airflow, dbt, and pandas)
- Can we take a moment to appreciate how much of dataengineering is open source?