dev-python/retentioneering
Retentioneering is a powerful Python library for user retention analysis. It provides a simple and intuitive interface for tracking user behavior, analyzing data, and gaining valuable insights into your users.
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retentioneering-4.0.0_rc14
<dev-python/numpy-3.0[python_targets_python3_11
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<dev-python/pandas-3.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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<dev-python/pydantic-2.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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<dev-python/networkx-4.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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>=dev-python/plotly-5.10.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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>=dev-python/seaborn-0.12.1[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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dev-python/umap-learn[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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<dev-python/scikit-learn-2.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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>=dev-python/statsmodels-0.14.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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]
<dev-python/scipy-2.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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dev-python/docrep[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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dev-python/nanoid[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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<dev-python/ipython-9.0[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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]
>=dev-python/matplotlib-3.7.2[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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dev-python/anywidget[python_targets_python3_11
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,python_targets_python3_12
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,python_targets_python3_13
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python_targets_python3_11?
( dev-lang/python:3.11 )
python_targets_python3_12?
( dev-lang/python:3.12 )
python_targets_python3_13?
( dev-lang/python:3.13 )
retentioneering-3.3.0
>=dev-python/virtualenv-20.17[python_targets_python3_11
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>=dev-python/numpy-1.22[python_targets_python3_11
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<dev-python/pandas-2.0.0[python_targets_python3_11
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>=dev-python/jupyterlab-3.4.7[python_targets_python3_11
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>=dev-python/notebook-6.5.6[python_targets_python3_11
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<dev-python/pydantic-2.0[python_targets_python3_11
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~dev-python/networkx-2.8.6[python_targets_python3_11
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>=dev-python/plotly-5.10.0[python_targets_python3_11
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>=dev-python/seaborn-0.12.1[python_targets_python3_11
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dev-python/umap-learn[python_targets_python3_11
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<dev-python/scikit-learn-1.3.0[python_targets_python3_11
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>=dev-python/statsmodels-0.14.0[python_targets_python3_11
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>=dev-python/scipy-1.11.2[python_targets_python3_11
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>=dev-python/ipywidgets-8.0.4[python_targets_python3_11
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dev-python/docrep[python_targets_python3_11
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dev-python/nanoid[python_targets_python3_11
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~dev-python/ipython-7.34.0[python_targets_python3_11
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~dev-python/ipykernel-5.5.6[python_targets_python3_11
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~dev-python/tornado-6.3.2[python_targets_python3_11
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~dev-python/pyzmq-23.2.1[python_targets_python3_11
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~dev-python/matplotlib-3.7.2[python_targets_python3_11
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]
python_targets_python3_11?
( dev-lang/python:3.11 )