databricks-nutter-projects-demo
Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline [Moved to: https://github.com/alexott/databricks-nutter-repos-demo] (by alexott)
dbx
🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management. (by databrickslabs)
| databricks-nutter-projects-demo | dbx | |
|---|---|---|
| 1 | 5 | |
| 48 | 434 | |
| - | 2.3% | |
| 6.9 | 4.6 | |
| about 2 years ago | 2 months ago | |
| Python | Python | |
| - | GNU General Public License v3.0 or later |
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-nutter-projects-demo
Posts with mentions or reviews of databricks-nutter-projects-demo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-30.
-
Unit & integration testing in Databricks
You can also use the approach described here https://github.com/alexott/databricks-nutter-projects-demo
dbx
Posts with mentions or reviews of dbx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-07.
-
Snowpark equivalent on Databricks?
Pyspark is the python API for spark. You can write code in a notebook on databricks and run it on a cluster or you can write code in an IDE and run it using dbx through the dbx execute command. If you’re more familiar with Pandas API, you can use Koalas which is a pandas API on Spark
- how/where do you define your databricks jobs, tasks and workflows?
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Unit & integration testing in Databricks
Hey, Databricks person here. Check out DBX for a template on how to do unit and integration tests: https://github.com/databrickslabs/dbx
-
My top 5 learnings from driving an OSS project
Approximately 1 year ago I've released the first version of dbx - a CLI tool for simple and efficient development and deployment of Databricks jobs.
- Anyone use Pyspark notebook in production ?
What are some alternatives?
When comparing databricks-nutter-projects-demo and dbx you can also consider the following projects:
spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
databricks-cli - The missing command line client for Databricks SQL
chispa - PySpark test helper methods with beautiful error messages
cicd-templates - Manage your Databricks deployments and CI with code.
jupyterlab-integration - DEPRECATED: Integrating Jupyter with Databricks via SSH
nutter - Testing framework for Databricks notebooks
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
delta-rs - A native Rust library for Delta Lake, with bindings into Python