Package · PyPI

autoviz

PyPI · v0.1.905 · Apache License 2.0

Automatically Visualize any dataset, any size with a single line of code

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 autoviz

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.35
DerivedRelease cadence and recency, 0 to 1
Releases per year
19
90 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
v0.1.905
90 versions
First published
AUG 5, 2019
Last release
JUN 10, 2024
2y ago
Licence
Apache License 2.0

Repository

In the Crest catalog

AutoViML/AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Stars
1.9K
Forks
214
Language
Python
Last push
2y ago
Last release
None recorded

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

Dependencies latest version · v0.1.905

Runtime 19

  • emojiAny version
  • fsspec>=0.8.3
  • holoviews>=1.16.0
  • hvplot>=0.9.2
  • matplotlib>3.7.4
  • nltkAny version
  • numpy>=1.24.0
  • pandas>=2.0
  • pandas-dq>=1.29
  • panel>=1.4.0
  • pyamgAny version
  • scikit-learnAny version
  • seaborn>0.12.2
  • statsmodelsAny version
  • textblobAny version
  • typing-extensions>=4.1.1
  • wordcloudAny version
  • xgboost<1.7,>=0.82
  • xlrdAny version

Related news

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