Package · PyPI

explainerdashboard

PyPI · v0.5.8 · MIT License

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

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 explainerdashboard

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.52
DerivedRelease cadence and recency, 0 to 1
Releases per year
16
100 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
v0.5.8
100 versions
First published
NOV 8, 2019
Last release
FEB 8, 2026
9mo ago
Licence
MIT License

Repository

In the Crest catalog

oegedijk/explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Stars
2.5K
Forks
346
Language
Python
Last push
8mo ago
Last release
9mo ago

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

Dependencies latest version · v0.5.8

Runtime 17

  • clickAny version
  • dash>=3.0.4
  • dash-authAny version
  • dash-bootstrap-components<3.0,>=1.6.0
  • dtreeviz>=2.1
  • flask-simpleloginAny version
  • flask-wtf>=1.1
  • graphviz>=0.18.2
  • joblibAny version
  • jupyter-dash>=0.4.1
  • numpyAny version
  • oyamlAny version
  • pandas>=1.1
  • plotly>=5.0
  • scikit-learn>=1.1
  • shap>=0.42.1
  • waitressAny version

Related news

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