Package · PyPI

dbt-metricflow

PyPI · v0.15.0 · Apache-2.0

Execute commands against the MetricFlow semantic layer with dbt.

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Install

pip install dbt-metricflow

Adoption

Adoption
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Popularity
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Dependents
Not published by PyPI
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Maintenance
0.80
DerivedRelease cadence and recency, 0 to 1
Releases per year
7.5
24 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v0.15.0
24 versions
First published
JUN 28, 2023
Last release
SEP 10, 2026
43d ago
Licence
Apache-2.0

Repository

In the Crest catalog

dbt-labs/metricflow

MetricFlow allows you to define, build, and maintain metrics in code.

Stars
1.8K
Forks
206
Language
Python
Last push
25d ago
Last release
43d ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.15.0

Runtime 6

  • click>=8.1.6
  • dbt-core<1.13,>=1.11
  • halo<0.1.0,>=0.0.31
  • jinja2<3.7.0,>=3.1.6
  • metricflow==0.213.0
  • update-checker<0.19.0,>=0.18.0

Related news

No published news event mentions this package or its repository yet.