dbx
jupyterlab-integration
| dbx | jupyterlab-integration | |
|---|---|---|
| 5 | 2 | |
| 434 | 72 | |
| 2.3% | - | |
| 4.6 | 0.0 | |
| 2 months ago | almost 2 years ago | |
| Python | HTML | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
dbx
-
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?
-
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 ?
jupyterlab-integration
-
VS Code Databricks integration feature analogous to JupyterLab Integration?
JupyterLab Integration allows me to run my Python code on a Databricks cluster while editing within JupyterLab. Is there anything similar for VS Code?
-
Azure databricks noob: Use JupyterLab Databricks integration from "normal Jupyter"?
Can I use JupyterLab Integration from Databricks Labs without using JupyterLab?
What are some alternatives?
databricks-cli - The missing command line client for Databricks SQL
jupyter-themes - Custom Jupyter Notebook Themes
cicd-templates - Manage your Databricks deployments and CI with code.
ipyvizzu - Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
nutter - Testing framework for Databricks notebooks
jacks - Consolidated J language code referenced in my blog Analyze the Data not the Drivel
fastdbfs - fastdbfs - An interactive command line client for Databricks DBFS.
maxos - Pentest focused NixOS config
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]
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
spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)