databricks-cli
The missing command line client for Databricks SQL (by aloneguid)
nutter
Testing framework for Databricks notebooks (by microsoft)
databricks-cli | nutter | |
---|---|---|
1 | 2 | |
2 | 262 | |
- | 2.3% | |
1.8 | 0.0 | |
almost 2 years ago | 15 days ago | |
C# | Python | |
Apache License 2.0 | MIT License |
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.
databricks-cli
Posts with mentions or reviews of databricks-cli.
We have used some of these posts to build our list of alternatives
and similar projects.
nutter
Posts with mentions or reviews of nutter.
We have used some of these posts to build our list of alternatives
and similar projects.
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How much object orienteered do you use in your projects? Bonus points for integration and unit tests
From my experience OO gives you much more flexibility in designing your pipeline but you're risking to make the project way more complicated. The worst example I have seen is the Nutter library (https://github.com/microsoft/nutter), which uses endless classes that are all nested in each other. I once had a bug when using it, and it was a huge pain in the ass to understand what's going on when the code is executed. It is a very good example of what can go wrong when you're overusing OO. However, in one project, I carefully created few classes, just out of curiosity, and I was very impressed how it helped me to organize/structure my code. A functions hase a clear dedicated use, but a good class is like a Swiss army knife with an solid set of functionalities. If you know how to use it in a smart way, you are likely to increase the quality of your code, but the contrary is also very likely, especially when the team members are not ready for it.
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How do you test your pipelines?
- https://github.com/microsoft/nutter
What are some alternatives?
When comparing databricks-cli and nutter you can also consider the following projects:
dbx - 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.
cicd-templates - Manage your Databricks deployments and CI with code.
delta-rs - A native Rust library for Delta Lake, with bindings into Python
dbt-databricks - A dbt adapter for Databricks.
stowage - Bloat-free, no BS cloud storage SDK.
azure-devops-python-api - Azure DevOps Python API
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
terraform-provider-azuredevops - Terraform Azure DevOps provider
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.
databricks-cli vs dbx
nutter vs cicd-templates
databricks-cli vs delta-rs
nutter vs dbt-databricks
databricks-cli vs cicd-templates
nutter vs dbx
databricks-cli vs stowage
nutter vs azure-devops-python-api
databricks-cli vs Redash
nutter vs Redash
nutter vs terraform-provider-azuredevops
nutter vs fastdbfs