Package · PyPI

pycaret

PyPI · v3.3.2 · MIT

PyCaret - An open source, low-code machine learning library in Python.

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 pycaret

Adoption

Adoption
Not published by PyPI
Not published
Popularity
Not published by PyPI
Not published
Dependents
Not published by PyPI
Not published
Maintenance
0.63
DerivedRelease cadence and recency, 0 to 1
Releases per year
16
104 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
Not published by PyPI
Not published
30 days
Not published by PyPI
Not published
90 days
Not published by PyPI
Not published
1 year
Not published by PyPI
Not published

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
v3.3.2
104 versions
First published
NOV 29, 2019
Last release
MAY 8, 2026
6mo ago
Licence
MIT

Repository

In the Crest catalog

pycaret/pycaret

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Stars
9.9K
Forks
1.8K
Language
Python
Last push
3mo ago
Last release
2y ago

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

Dependencies latest version · v3.3.2

Runtime 34

  • category-encoders>=2.4.0
  • cloudpickleAny version
  • deprecation>=2.1.0
  • imbalanced-learn>=0.12.0
  • importlib-metadata>=4.12.0
  • ipython>=5.5.0
  • ipywidgets>=7.6.5
  • jinja2>=3
  • joblib<1.4,>=1.2.0
  • kaleido>=0.2.1
  • lightgbm>=3.0.0
  • markupsafe>=2.0.1
  • matplotlib<3.8.0
  • nbformat>=4.2.0
  • numba>=0.55.0
  • numpy<1.27,>=1.21
  • pandas<2.2.0
  • plotly>=5.14.0
  • plotly-resampler>=0.8.3.1
  • pmdarima>=2.0.4
  • psutil>=5.9.0
  • pyod>=1.1.3
  • requests>=2.27.1
  • schemdraw==0.15
  • scikit-learn>1.4.0
  • scikit-plot>=0.3.7
  • scipy<=1.11.4,>=1.6.1
  • sktime==0.26.0
  • statsmodels>=0.12.1
  • tbats>=1.1.3
  • tqdm>=4.62.0
  • wurlitzerAny version
  • xxhashAny version
  • yellowbrick>=1.4

Related news

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