difficult_packages.list

# 08/2023: deps too conflicting
langchain
paperqa
jupyter_ai
jupyter_ai_chatgpt
jupyter_ai_dalle

# slightly old, not super usefulmam
scikit-na

# 08/23: deps matplotlib<3.5 (conda)
proplot

# 04/23: deps tensorflow-cpu and flax<0.7 (pip)
aws-fortuna

# 08/2023: deps sklearn==1.0 (conda,pip)
causalml
# 08/2023: deps sklearn==1.1 and pillow<10 (conda,pip)
omnixai

# 08/2023: too experimental
torcharrow

# 08/2023: deps cudatoolkit>11.3
fastchan::torchaudio

# 08/2023: deps jax==0.3 (pip)
oryx

# 08/2023: dgl conda channel with cudatoolkit>11.3 only
dglteam::dgl
dglteam::dgl-cuda

# 08/2023: deps pandas<2, statsmodels<0.14 and others (pip)
etna
etna[all]

# 08/2023: deps scipy <1.8, too many deps (pip)
fedot
fedot[extra]

# 08/2023: deps pandas<2, holidays<0.4 (pip)
greykite

# 08/2023: deps torch<2, pandas<2...
neuralprophet

# 08/2023: deps on old python, pandas, scipy (conda,pip)
kats

# 04/2023: needs tensorflow
bioconda::deepsig

# 08/2023: deps (pandas<1.4, scipy<1.9, seaborn<0.13)
# https://github.com/facebookresearch/balance/blob/main/setup.py
balance

# to check
pandas-selectable
jupyterlab-nvdashboard
glue-vispy-viewers
glue-jupyter
glue-astronomy
jdaviz
pillow-simd
forestci
ott
augly
mcml
evalml
featuretools
composeml
woodwork