dbt-labs/metricflow
dbt-labs/metricflow — a data project — sits at 1.7k GitHub stars in the Data space. MetricFlow allows you to define, build, and maintain metrics in code.
Snapshot summary built from the project's own GitHub metadata — there's no written TopGit review yet. The page will update automatically when a full review is published.
TopGit writes full reviews for the most-starred, most-requested repositories. This page is a snapshot until then — see the READ ME tab for the original README in full.
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Quick answers
Is dbt-labs/metricflow open source?
Yes — dbt-labs/metricflow ships under the Apache-2.0 license, which makes its source code freely readable (and, depending on license terms, forkable and reusable). Source: github.com/dbt-labs/metricflow.
What else is in the Data space?
dbt-labs/metricflow is tracked by TopGit under the Data category, alongside 7 GitHub-tagged topics. Trending and Topics pages list peer repositories of comparable stars and language.
What is dbt-labs/metricflow?
dbt-labs/metricflow (dbt-labs/metricflow) is a Python project on GitHub. From the project's own README: MetricFlow allows you to define, build, and maintain metrics in code.
What license does dbt-labs/metricflow use?
dbt-labs/metricflow is released under the Apache-2.0 license. Always verify the LICENSE file directly on GitHub for the authoritative terms — license strings can be edited out of sync with a project's actual stance.
Where can I see dbt-labs/metricflow in action?
The project maintains a homepage at https://docs.getdbt.com/docs/build/about-metricflow. The README tab on this page also usually contains screenshots and a quickstart.
Where do I read more about dbt-labs/metricflow?
This TopGit page is a snapshot — the READ ME tab shows the project's own README content (links stripped, images preserved). The GitHub repository at github.com/dbt-labs/metricflow is the definitive source.
Why is dbt-labs/metricflow categorized under Data?
TopGit places dbt-labs/metricflow in the Data category based on its GitHub topics and description (tagged: "analytics", "business-intelligence", "data"). Categories are assigned from real repository metadata, not editorial guesswork.
Read full README in the tab above.
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