anyio : High level compatibility layer for multiple asynchronous event loop implementations ( HOMEPAGE="" )
awkward : Manipulate JSON-like data with NumPy-like idioms. ( https://github.com/scikit-hep/awkward )
awkward-cpp : CPU kernels and compiled extensions for Awkward Array. ( https://awkward-array.org/ )
bash_kernel : A bash kernel for Jupyter ( https://github.com/takluyver/bash_kernel )
certipy : Utility to create and sign CAs and certificates ( https://github.com/LLNL/certipy )
cupy : CuPy: A NumPy-compatible array library accelerated by CUDA ( https://cupy.dev/ )
dataclasses : A backport of the dataclasses module for Python 3.6 ( https://github.com/ericvsmith/dataclasses )
datatable : Python library for fast multi-threaded data manipulation and munging. ( https://github.com/h2oai/datatable )
duckdb : DuckDB embedded database ( https://www.duckdb.org )
fastrlock : Fast, re-entrant optimistic lock implemented in Cython ( https://github.com/scoder/fastrlock )
hepunits : Units and constants in the HEP system of units ( https://github.com/scikit-hep/hepunits )
jax : Differentiate, compile, and transform Numpy code. ( https://github.com/google/jax )
json5 : A Python implementation of the JSON5 data format. ( https://github.com/dpranke/pyjson5 )
jupyter_client : it has been replaced by jupyter-client::gentoo, keep it for IRkernel ( https://jupyter.org )
jupyter_console : Jupyter terminal console ( https://jupyter.org )
jupyter_telemetry : Jupyter telemetry library ( http://jupyter.org )
jupyterhub : JupyterHub: A multi-user server for Jupyter notebooks ( https://jupyter.org )
jupyterhub-nativeauthenticator : JupyterHub Native Authenticator ( https://github.com/jupyterhub/nativeauthenticator )
lightgbm : LightGBM Python Package ( https://github.com/microsoft/LightGBM )
matlab_kernel : ( https://github.com/Calysto/matlab_kernel )
metakernel : Metakernel for Jupyter ( https://github.com/Calysto/metakernel )
mpl_axes_aligner : Align the plotting range of matplotlib axes. ( https://github.com/ryutok/mpl_axes_aligner )
nbclassic : Jupyter Notebook as a Jupyter Server Extension. ( http://jupyter.org )
numba-scipy : numba-scipy extends Numba to make it aware of SciPy ( https://github.com/numba/numba-scipy )
onetimepass : Module for generating and validating HOTP and TOTP tokens ( https://github.com/tadeck/onetimepass/ )
pamela : PAM interface using ctypes ( https://github.com/minrk/pamela )
particle : Extended PDG particle data and MC identification codes ( https://github.com/scikit-hep/particle )
python-json-logger : A python library adding a json log formatter ( http://github.com/madzak/python-json-logger )
robustats : Library for high-performance computation of robust statistical estimators. ( https://github.com/FilippoBovo/robustats )
stockwell : Stockwell transform for Python ( https://github.com/claudiodsf/stockwell )
traits : Observable typed attributes for Python classes ( http://docs.enthought.com/traits )
tweedie : Tweedie distribution estimations of pdf and cdf ( https://github.com/thequackdaddy/tweedie )
unidip : Python port of the UniDip clustering algorithm ( https://github.com/BenjaminDoran/unidip )
uproot : ROOT I/O in pure Python and NumPy. ( https://github.com/scikit-hep/uproot4 )
uproot3 : ROOT I/O in pure Python and Numpy. ( https://github.com/scikit-hep/uproot3 )
uproot3-methods : Pythonic mix-ins for ROOT classes. ( https://github.com/scikit-hep/uproot3-methods )
uproot4 : ROOT I/O in pure Python and NumPy. ( https://github.com/scikit-hep/uproot4 )
upsilon : Automated Classification of Periodic Variable Stars Using Machine Learning ( https://github.com/dwkim78/upsilon )
wquantiles : Weighted quantiles, including weighted median, based on numpy ( https://github.com/nudomarinero/wquantiles/ )
xgboost : XGBoost Python Package ( https://github.com/dmlc/xgboost )
xopen : Open compressed files transparently ( https://github.com/marcelm/xopen/ )
zernike : Python code for Zernike polynomials ( https://github.com/jacopoantonello/zernike )
Add an ebuild in portage :
The ebuild is now in the portage tree.
You can also use layman : emerge layman then layman -a pypi-sci
For Paludis use this rsync : rsync://gentoo.zugaina.org/pypi-sci-portage
If you have a problem : ycarus(-at-)zugaina.org