dagster
dbt-core
Our great sponsors
dagster | dbt-core | |
---|---|---|
46 | 86 | |
9,939 | 8,718 | |
4.7% | 6.1% | |
10.0 | 9.7 | |
6 days ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
dagster
-
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
In the meantime, we're collecting solutions and use cases in our GitHub Discussions, and you're welcome to ask any specific questions in there!
-
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
-
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
- Can we take a moment to appreciate how much of dataengineering is open source?
-
Dagger Python SDK: Develop Your CI/CD Pipelines as Code
I wondered how it related to https://dagster.io/
-
Data Engineer Github Profile?
You can find all current, closed, and resolved issues on the “Issues” section and explore them using filters: eg issues for dagster. Look into some of the issues and feel free to ask a question or post your idea: it’s much less toxic here (compared to SO, for example).
-
[D] Should I go with Prefect, Argo or Flyte for Model Training and ML workflow orchestration?
You could also consider Dagster, which aims to improve Apache Airflow's shortcomings. Also, take a look at MyMLOps, where you can get a quick overview of open-source orchestration tools.
dbt-core
-
Relational is more than SQL
dbt integration was one of our major goals early on but we found that the interaction wasn't as straightforward as had hoped.
There is an open PR in the dbt repo: https://github.com/dbt-labs/dbt-core/pull/5982#issuecomment-...
I have some ideas about future directions in this space where I believe PRQL could really shine. I will only be able to write those down in a couple of hours. I think this could be a really exciting direction for the project to grow into if anyone would like to collaborate and contribute!
-
Python: Just Write SQL
I really dislike SQL, but recognize its importance for many organizations. I also understand that SQL is definitely testable, particularly if managed by environments such as DBT (https://github.com/dbt-labs/dbt-core). Those who arrived here with preference to python will note that dbt is largely implemented in python, adds Jinja macros and iterative forms to SQL, and adds code testing capabilities.
-
Transform Your Data Like a Pro With dbt (Data Build Tool)
3). Data Build Tool Repository.
- How do I build a docker image based on a Dockerfile on github?
-
DBT core v1.5 released
Here’s the PR, which includes a what/how/why: https://github.com/dbt-labs/dbt-core/issues/7158
- Building Column Level Lineage for dbt
-
Unit testing with dbt
Hey OP! There are packages like dbt-datamocktool or dbt-unit-testing. You can check it out. You might want to check out this thread as well.
- SQL and M4 = Composable SQL
-
Interview Prep - Senior Data Integration role
RudderStack, dbt, Kafka, Headless CDP, etc. on top of my mind
What are some alternatives?
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
MLflow - Open source platform for the machine learning lifecycle
meltano
OpenLineage - An Open Standard for lineage metadata collection
streamlit - Streamlit — A faster way to build and share data apps.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
superset - Apache Superset is a Data Visualization and Data Exploration Platform
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production