marquez-dbt-bigquery

v0.16.1

The Marquez BigQuery adapter plugin for dbt (data build tool) For more information about how to use this package see README

Latest version published 3 years ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

57 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

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Popularity

Small

GitHub Stars: 10K
Forks: 1.63K
Contributors: 290

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package marquez-dbt-bigquery, we found that it has been starred 9,999 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Jul 14, 2021
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Inactive

Commit Frequency

Open Issues: 529
Open PR: 108
Last Release: 3 years ago
Last Commit: 3 days ago

Further analysis of the maintenance status of marquez-dbt-bigquery based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for marquez-dbt-bigquery 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.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 290
Funding: No

A good and healthy external contribution signal for marquez-dbt-bigquery project, which invites more than one hundred open source maintainers to collaborate on the repository.

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

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Package

Python Versions Compatibility: >=3.6

Age: 3 years
Latest Release: 3 years ago
Dependencies: 5 Direct / 63 Total
Versions: 4
Maintainers: 1
Wheels: OS Independent

Readme

dbt-bigquery-openlineage

Plugin for dbt (data build tool) for automatic metadata and lineage collection.

This integration is experimental, and there is high possibility that it will change in the future, as together with dbt developers we're figuring what's the best way to extract metadata from it.

Requirements

Python 3.6+
sqlparse>=0.3.1

Installation

$ pip install marquez-dbt-bigquery

Configuration

You need to configure dbt's profiles.yaml file. This plugin introduces additional type: openlineage_bigquery.

It handles the same configuration flags as original bigquery plugin, with the addition of OpenLineage related ones:

    openlineage_url - sets URL of OpenLineage server where events will be pushed
    openlineage_timeout - optional - sets timeout for connecting to OpenLineage server. By default it's set to 5 seconds.
    openlineage_api_key - optional - sets api key for OpenLineage server

marquez-dbt-bigquery dependencies

dbt-bigquery dbt-core marquez-integration-common openlineage-python sqlparse

FAQs

What is marquez-dbt-bigquery?

The Marquez BigQuery adapter plugin for dbt (data build tool). Visit Snyk Advisor to see a full health score report for marquez-dbt-bigquery, including popularity, security, maintenance & community analysis.

Is marquez-dbt-bigquery popular?

The python package marquez-dbt-bigquery receives a total of 52 weekly downloads. As such, marquez-dbt-bigquery popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is marquez-dbt-bigquery well maintained?

We found indications that marquez-dbt-bigquery is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is marquez-dbt-bigquery safe to use?

While scanning the latest version of marquez-dbt-bigquery, 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 24 November-2024, at 21:55 (UTC).

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