in-metricflow

v0.205.0

Translates a simple metric definition into reusable SQL and executes it against the SQL engine of your choice. For more information about how to use this package see README

Latest version published 7 months ago

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PyPI

GitHub

Package Health Score

70 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

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40

Popularity

Small

GitHub Stars: 1.16K
Forks: 96
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package in-metricflow, we found that it has been starred 1,160 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 4, 2024
Direct Vulnerabilities: 0
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0
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0
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Indirect Vulnerabilities: 0
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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

Unrecognized

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 89
Open PR: 33
Last Release: 7 months ago
Last Commit: 13 days ago

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

We found that in-metricflow demonstrates a positive version release cadence with at least one new version released in the past 12 months.

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: 40
Funding: No

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

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Package

Python Versions Compatibility: <3.12,>=3.8

Age: 7 months
Latest Release: 7 months ago
Dependencies: 0 Direct
Versions: 1
Maintainers: 0
Wheels: OS Independent

Readme

Build and maintain all of your metric logic in code.

Welcome to MetricFlow

See our latest updates in the Metricflow Changelog!

MetricFlow is a semantic layer that makes it easy to organize metric definitions. It takes those definitions and generates legible and reusable SQL. This makes it easy to get consistent metrics output broken down by attributes (dimensions) of interest.

The name comes from the approach taken to generate metrics. A query is compiled into a query plan (represented below) called a dataflow that constructs metrics. The plan is then optimized and rendered to engine-specific SQL.

MetricFlow provides a set of abstractions that help you construct complicated logic and dynamically generate queries to handle:

Multi-hop joins between fact and dimension sources
Complex metric types such as ratio, expression, and cumulative
Metric aggregation to different time granularities
And so much more

To get up and running with your own metrics, you should rely on MetricFlow’s documentation.

Licensing

MetricFlow is distributed under a Business Source License (BUSL-1.1). For details on our additional use grant, change license, and change date please refer to our licensing agreement.

Getting Started

Install MetricFlow

MetricFlow can be installed from PyPi for use as a Python library with the following command:

pip install dbt-metricflow

MetricFlow currently serves as a query compilation and SQL rendering library, built to work in conjunction with a dbt project. As such, using MetricFlow requires a working dbt project and a dbt adapter. We provide the dbt-metricflow bundle for this purpose. You may choose to install other adapters as optional extras from dbt-metricflow.

You may need to install Postgres or Graphviz. You can do so by following the install instructions for Postgres or Graphviz. Mac users may prefer to use brew: brew install postgresql or brew install graphviz.

Tutorial

The best way to get started is to follow the tutorial steps, which you can access by running:

mf tutorial

Note: this must be run from a dbt project root directory.

Resources

Contributing and Code of Conduct

This project will be a place where people can easily contribute high-quality updates in a supportive environment.

Please read our code of conduct before diving in.

To get started on direct contributions, head on over to our contributor guide.

License

MetricFlow is source-available software.

Version 0 to 0.140.0 was covered by the Affero GPL license. Version 0.150.0 and greater is covered by the BSL license..

MetricFlow is built by dbt Labs.

FAQs

What is in-metricflow?

Translates a simple metric definition into reusable SQL and executes it against the SQL engine of your choice. Visit Snyk Advisor to see a full health score report for in-metricflow, including popularity, security, maintenance & community analysis.

Is in-metricflow popular?

We’re still processing downloads data for the python package in-metricflow. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is in-metricflow well maintained?

We found indications that in-metricflow maintenance is sustainable demonstrating some project activity. We saw a total of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is in-metricflow safe to use?

The python package in-metricflow was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 9 December-2024, at 17:01 (UTC).

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Readme

Welcome to MetricFlow

Licensing

Getting Started

Install MetricFlow

Tutorial

Resources

Contributing and Code of Conduct

License

FAQs

What is in-metricflow?

Is in-metricflow popular?

Is in-metricflow well maintained?

Is in-metricflow 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

Monitor for new issues