Ycarus Gentoo ebuild

pypi-sci

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dev-python

POT : Python Optimal Transport Library ( https://github.com/PythonOT/POT )

anyio : High level compatibility layer for multiple asynchronous event loop implementations ( HOMEPAGE="" )

argparse-dataclass : Declarative CLIs with argparse and dataclasses ( https://github.com/mivade/argparse_dataclass )

arviz : Exploratory analysis of Bayesian models ( http://github.com/arviz-devs/arviz )

arviz-base : Base ArviZ features and converters. ( None )

arviz-plots : ArviZ-plots provides ready to use and composable plots for Bayesian Workflow. ( None )

arviz-stats : Statistical computation and diagnostics for ArviZ. ( None )

async_generator : Async generators and context managers for Python ( https://github.com/python-trio/async_generator )

awkward-pandas : Awkward Array Pandas Extension. ( https://github.com/intake/akimbo )

bash_kernel : A bash kernel for Jupyter ( https://github.com/takluyver/bash_kernel )

bayesian-optimization : Bayesian Optimization package ( None )

better-optimize : A drop-in replacement for scipy optimize functions with quality of life improvements ( None )

certipy : Utility to create and sign CAs and certificates ( https://github.com/LLNL/certipy )

conda-inject : Inject a conda environment into the current Python environment ( https://github.com/snakemake/conda-inject )

connection_pool : Thread safe connection pool ( https://github.com/zhouyl/ConnectionPool )

cupy : CuPy: A NumPy-compatible array library accelerated by CUDA ( https://cupy.dev/ )

cython : A Python to C compiler ( HOMEPAGE=" )

dask : Task scheduling and blocked algorithms for parallel processing ( HOMEPAGE=" )

dask-expr : High Level Expressions for Dask ( HOMEPAGE=" )

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 )

diptest : Hartigan's diptest. ( https://github.com/RUrlus/diptest )

dpath : Filesystem-like pathing and searching for dictionaries ( https://github.com/dpath-maintainers/dpath-python )

duckdb : DuckDB embedded database ( https://www.duckdb.org )

ecos : Embedded Cone Solver. ( https://github.com/embotech/ecos )

fastrlock : Fast, re-entrant optimistic lock implemented in Cython ( https://github.com/scoder/fastrlock )

formulae : Formulas for mixed-effects models in Python ( None )

h5tui : TUI application for navigating and viewing HDF5 files ( None )

hepunits : Units and constants in the HEP system of units ( https://github.com/scikit-hep/hepunits )

ipympl : Matplotlib Jupyter Extension ( http://matplotlib.org )

jax : Differentiate, compile, and transform Numpy code ( https://github.com/jax-ml/jax )

jax-rocm7-pjrt : ROCm PJRT runtime for JAX ( https://github.com/ROCm/rocm-jax )

jax-rocm7-plugin : ROCm plugin for JAX ( https://github.com/ROCm/rocm-jax )

jaxlib : XLA library for JAX ( https://github.com/jax-ml/jax )

json5 : A Python implementation of the JSON5 data format ( https://github.com/dpranke/pyjson5 )

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 )

jupyterlab-widgets : Jupyter interactive widgets for JupyterLab ( https://github.com/jupyter-widgets/ipywidgets )

kmeans1d : A Python package for optimal 1D k-means clustering ( https://github.com/dstein64/kmeans1d )

lightgbm : LightGBM Python Package ( https://github.com/microsoft/LightGBM )

matlab_kernel : ( https://github.com/Calysto/matlab_kernel )

memray : A memory profiler for Python applications ( https://github.com/bloomberg/memray )

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 )

numpyro : Pyro PPL on NumPy ( https://github.com/pyro-ppl/numpyro )

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 )

plotext : Plotting on terminal ( https://github.com/piccolomo/plotext )

preliz : Exploring and eliciting probability distributions. ( None )

pulp : Linear programming modeler written in Python ( https://github.com/coin-or/pulp )

pycwt : ( )

pygam : Generalized Additive Models in Python ( https://github.com/dswah/pyGAM )

pymc : Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with PyTensor ( http://github.com/pymc-devs/pymc )

pymc-extras : Powerful add-ons for PyMC ( HOMEPAGE="" )

pytensor : Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs. ( None )

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 )

rpy2-arrow : Bridge Arrow between Python and R when using rpy2 ( https://rpy2.github.io/rpy2-arrow )

rpy2-r6 : Mapping the R package R6 ( https://rpy2.github.io/rpy2-arrow )

smart_open : Utilities for streaming large files ( https://github.com/piskvorky/smart_open )

snakemake-executor-plugin-slurm : Snakemake executor plugin for submitting jobs to a Slurm cluster ( HOMEPAGE=" )

snakemake-executor-plugin-slurm-jobstep : Snakemake executor plugin for running srun jobs inside Slurm jobs ( HOMEPAGE=" )

snakemake-interface-common : Common functions and classes for Snakemake and its plugins ( https://github.com/snakemake/snakemake-interface-common )

snakemake-interface-executor-plugins : Stable interface for Snakemake executor plugins ( https://github.com/snakemake/snakemake-interface-executor-plugins )

snakemake-interface-logger-plugins : Logger plugin interface for Snakemake ( https://github.com/snakemake/snakemake-interface-logger-plugins )

snakemake-interface-report-plugins : Report plugin interface for Snakemake ( https://github.com/snakemake/snakemake-interface-report-plugins )

snakemake-interface-scheduler-plugins : Scheduler plugin interface for Snakemake ( https://github.com/snakemake/snakemake-interface-scheduler-plugins )

snakemake-interface-storage-plugins : Stable interface for Snakemake storage plugins ( https://github.com/snakemake/snakemake-interface-storage-plugins )

sqlmodel : SQL databases in Python, designed for simplicity and compatibility ( https://github.com/fastapi/sqlmodel )

stockwell : Time-frequency analysis through Stockwell transform ( https://github.com/claudiodsf/stockwell )

textual : Modern Text User Interface framework ( https://github.com/Textualize/textual https://pypi.org/project/textual/ )

textual-plotext : A Textual widget wrapper for the Plotext plotting library ( https://github.com/Textualize/textual-plotext )

throttler : Zero-dependency Python package for throttling with asyncio support ( https://github.com/uburuntu/throttler )

timm : PyTorch Image Models ( https://github.com/huggingface/pytorch-image-models )

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 )

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/ )

xarray-einstats : Stats, linear algebra and einops for xarray ( None )

xgboost : XGBoost Python Package ( https://github.com/dmlc/xgboost )

xopen : Open compressed files transparently ( https://github.com/marcelm/xopen/ )

yte : YAML template engine with Python expressions ( https://github.com/yte-template-engine/yte )

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

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