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dev-python/retentioneering - 3.3.0 (pypi)

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Package Information

Description:
Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can use Retentioneering to explore user behavior, segment users, and form hypotheses about what drives users to desirable actions or to churning away from a product.
License:
Retentioneering Software Non-Exclusive License

Ebuild Details

Version EAPI Keywords Slot
3.3.0 8 ~amd64 ~x86 0
View Raw Ebuild 
# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python3_11 )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can use Retentioneering to explore user behavior, segment users, and form hypotheses about what drives users to desirable actions or to churning away from a product."

HOMEPAGE=""
LICENSE="Retentioneering Software Non-Exclusive License"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"

SLOT="0"
KEYWORDS="~amd64 ~x86"

IUSE=""
DEPENDENCIES=">=dev-python/virtualenv-20.17[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
	<dev-python/pandas-2.0.0[${PYTHON_USEDEP}]
	>=dev-python/jupyterlab-3.4.7[${PYTHON_USEDEP}]
	>=dev-python/notebook-6.5.6[${PYTHON_USEDEP}]
	<dev-python/pydantic-2.0[${PYTHON_USEDEP}]
	~dev-python/networkx-2.8.6[${PYTHON_USEDEP}]
	>=dev-python/plotly-5.10.0[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.12.1[${PYTHON_USEDEP}]
	dev-python/umap-learn[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-1.3.0[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.14.0[${PYTHON_USEDEP}]
	>=dev-python/scipy-1.11.2[${PYTHON_USEDEP}]
	>=dev-python/ipywidgets-8.0.4[${PYTHON_USEDEP}]
	dev-python/docrep[${PYTHON_USEDEP}]
	dev-python/nanoid[${PYTHON_USEDEP}]
	~dev-python/ipython-7.34.0[${PYTHON_USEDEP}]
	~dev-python/ipykernel-5.5.6[${PYTHON_USEDEP}]
	~dev-python/tornado-6.3.2[${PYTHON_USEDEP}]
	~dev-python/pyzmq-23.2.1[${PYTHON_USEDEP}]
	~dev-python/matplotlib-3.7.2[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Dependencies

RDEPEND

>=dev-python/virtualenv-20.17[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
	<dev-python/pandas-2.0.0[${PYTHON_USEDEP}]
	>=dev-python/jupyterlab-3.4.7[${PYTHON_USEDEP}]
	>=dev-python/notebook-6.5.6[${PYTHON_USEDEP}]
	<dev-python/pydantic-2.0[${PYTHON_USEDEP}]
	~dev-python/networkx-2.8.6[${PYTHON_USEDEP}]
	>=dev-python/plotly-5.10.0[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.12.1[${PYTHON_USEDEP}]
	dev-python/umap-learn[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-1.3.0[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.14.0[${PYTHON_USEDEP}]
	>=dev-python/scipy-1.11.2[${PYTHON_USEDEP}]
	>=dev-python/ipywidgets-8.0.4[${PYTHON_USEDEP}]
	dev-python/docrep[${PYTHON_USEDEP}]
	dev-python/nanoid[${PYTHON_USEDEP}]
	~dev-python/ipython-7.34.0[${PYTHON_USEDEP}]
	~dev-python/ipykernel-5.5.6[${PYTHON_USEDEP}]
	~dev-python/tornado-6.3.2[${PYTHON_USEDEP}]
	~dev-python/pyzmq-23.2.1[${PYTHON_USEDEP}]
	~dev-python/matplotlib-3.7.2[${PYTHON_USEDEP}]

BDEPEND

>=dev-python/virtualenv-20.17[${PYTHON_USEDEP}]
	>=dev-python/numpy-1.22[${PYTHON_USEDEP}]
	<dev-python/pandas-2.0.0[${PYTHON_USEDEP}]
	>=dev-python/jupyterlab-3.4.7[${PYTHON_USEDEP}]
	>=dev-python/notebook-6.5.6[${PYTHON_USEDEP}]
	<dev-python/pydantic-2.0[${PYTHON_USEDEP}]
	~dev-python/networkx-2.8.6[${PYTHON_USEDEP}]
	>=dev-python/plotly-5.10.0[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.12.1[${PYTHON_USEDEP}]
	dev-python/umap-learn[${PYTHON_USEDEP}]
	<dev-python/scikit-learn-1.3.0[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.14.0[${PYTHON_USEDEP}]
	>=dev-python/scipy-1.11.2[${PYTHON_USEDEP}]
	>=dev-python/ipywidgets-8.0.4[${PYTHON_USEDEP}]
	dev-python/docrep[${PYTHON_USEDEP}]
	dev-python/nanoid[${PYTHON_USEDEP}]
	~dev-python/ipython-7.34.0[${PYTHON_USEDEP}]
	~dev-python/ipykernel-5.5.6[${PYTHON_USEDEP}]
	~dev-python/tornado-6.3.2[${PYTHON_USEDEP}]
	~dev-python/pyzmq-23.2.1[${PYTHON_USEDEP}]
	~dev-python/matplotlib-3.7.2[${PYTHON_USEDEP}]

Manifest for 3.3.0

Type File Size Source URLs
DIST retentioneering-3.3.0.tar.gz 841873 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/retentioneering/retentioneering-3.3.0.tar.gz