fastdbfs vs dbx

fastdbfs

fastdbfs - An interactive command line client for Databricks DBFS. (by salva)

dbx

🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management. (by databrickslabs)

Databricks databricks-api databricks-cli CI Cicd Mlops

Source Code

dbx.readthedocs.io

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fastdbfs		dbx
	Project
1	Mentions	5
4	Stars	433
-	Growth	3.0%
0.0	Activity	4.6
almost 3 years ago	Latest Commit	2 months ago
Python	Language	Python
GNU General Public License v3.0 only	License	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.

fastdbfs

Posts with mentions or reviews of fastdbfs. We have used some of these posts to build our list of alternatives and similar projects.

fastdbfs - An interactive command line client for Databricks DBFS
1 project | /r/dataengineering | 7 May 2021

fastdbfs is an interactive command line client for accessing Databricks DBFS. It aims to be much more friendly and faster than the official CLI tool and also feature rich.

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?
2 projects | /r/dataengineering | 7 Nov 2022

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?
1 project | /r/dataengineering | 1 Nov 2022
Unit & integration testing in Databricks
3 projects | /r/dataengineering | 30 Apr 2022

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
1 project | dev.to | 3 Apr 2022

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 ?
1 project | /r/dataengineering | 19 Dec 2021

What are some alternatives?

When comparing fastdbfs and dbx you can also consider the following projects:

koalas - Koalas: pandas API on Apache Spark

databricks-cli - The missing command line client for Databricks SQL

nutter - Testing framework for Databricks notebooks

cicd-templates - Manage your Databricks deployments and CI with code.

Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

jupyterlab-integration - DEPRECATED: Integrating Jupyter with Databricks via SSH

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]

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)