Package Health Score

73 / 100

security
Security review needed
popularity
Influential project
maintenance
Sustainable
community
Sustainable

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Popularity

Influential project

GitHub Stars: 387
Forks: 233
Contributors: 90

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package databricks-cli, we found that it has been starred 387 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 5, 2023
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
C
0
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0
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0
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License Risk: 0
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1
M
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Sustainable

Commit Frequency

No Recent Commits

Open Issues: 104
Open PR: 22
Last Release: 1 year ago
Last Commit: 1 year ago

Further analysis of the maintenance status of databricks-cli based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

An important project maintenance signal to consider for databricks-cli is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 90
Funding: No

With more than 10 contributors for the databricks-cli repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like databricks-cli is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.7

Age: 8 years
Latest Release: 1 year ago
Dependencies: 7 Direct / 13 Total
Versions: 53
Maintainers: 2
Wheels: OS Independent

Readme

> Note > > Databricks recommends that you use newer Databricks CLI versions > 0.200 and above instead of legacy Databricks CLI versions 0.17 and > below (located in this repository). You can find the new CLI at > https://github.com/databricks/cli. > > If you have been using the code in this repository as a Python SDK > for interacting with the Databricks APIs, we recommend you use the new > dedicated SDK package that can be found at > https://github.com/databricks/databricks-sdk-py.

databricks-cli

The Databricks Command Line Interface (CLI) is an open source tool which provides an easy to use interface to the Databricks platform. The CLI is built on top of the Databricks REST APIs.

Note: This CLI is no longer under active development and has been released as an experimental client.

Please leave bug reports as issues on our GitHub project.

Requirements

Python Version >= 3.7

Installation

To install simply run pip install --upgrade databricks-cli

Then set up authentication using username/password or authentication token. Credentials are stored at ~/.databrickscfg.

databricks configure (enter hostname/username/password at prompt)
databricks configure --token (enter hostname/auth-token at prompt)

Multiple connection profiles are also supported with databricks configure --profile [--token]. The connection profile can be used as such: databricks workspace ls --profile .

To test that your authentication information is working, try a quick test like databricks workspace ls.

Known Issues

AttributeError: 'module' object has no attribute 'PROTOCOL_TLSv1_2'

The Databricks web service requires clients speak TLSV1.2. The built in version of Python for MacOS does not have this version of TLS built in.

To use the Databricks CLI you must install a version of Python that has ssl.PROTOCOL_TLSv1_2. For MacOS, the easiest way may be to install Python with Homebrew.

Using Docker

# build image
docker build -t databricks-cli .

# run container
docker run -it databricks-cli

# run command in docker
docker run -it databricks-cli fs --help

Documentation

For the latest CLI documentation, see

databricks-cli dependencies

click oauthlib pyjwt requests six tabulate urllib3

FAQs

What is databricks-cli?

A command line interface for Databricks. Visit Snyk Advisor to see a full health score report for databricks-cli, including popularity, security, maintenance & community analysis.

Is databricks-cli popular?

The python package databricks-cli receives a total of 4,835,688 weekly downloads. As such, databricks-cli popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is databricks-cli well maintained?

We found indications that databricks-cli maintenance is sustainable demonstrating some project activity. We saw a total of 90 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is databricks-cli safe to use?

While scanning the latest version of databricks-cli, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 December-2024, at 20:58 (UTC).

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databricks-cli

A command line interface for Databricks For more information about how to use this package see README

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Package

Readme

databricks-cli

Requirements

Installation

Known Issues

Using Docker

Documentation

databricks-cli dependencies

FAQs

What is databricks-cli?

Is databricks-cli popular?

Is databricks-cli well maintained?

Is databricks-cli safe to use?

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Scan your app for vulnerabilities

Fix identified vulnerabilities

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

databricks-cli

Requirements

Installation

Known Issues

Using Docker

Documentation

databricks-cli dependencies

FAQs

What is databricks-cli?

Is databricks-cli popular?

Is databricks-cli well maintained?

Is databricks-cli safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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