autogluon.tabular!=1.6.3,<1.7,>=1.6.3b20260917
autogluon.core[ray]<1.7,>=1.6
bencheval==0.1.1.dev20260918191841
openml>=0.14.1
pyyaml
tqdm
typing-extensions<5,>=4.11
huggingface-hub
numpy
pandas
tabulate
loguru

[all]
tabarena[benchmark]
tabarena[extended]
tabarena[probmetrics]

[aplr]
aplr>=10.26.0

[benchmark]
tabarena[tabpfn]
tabarena[tabicl]
tabarena[ebm]
tabarena[search_spaces]
tabarena[realmlp]
tabarena[tabdpt]
tabarena[tabm]
tabarena[data-foundry]
tabarena[plot]
tabarena[text]
tabarena[preprocessing]

[causilo]
causilo==1.0.0

[chimeraboost]
chimeraboost>=0.30.0

[ctboost]
ctboost==0.1.61

[data-foundry]
data-foundry>=0.0.3

[ebm]
autogluon.tabular[interpret]<1.7,>=1.6

[exaone_tabular]

[extended]
tabarena[causilo]
tabarena[modernnca]
tabarena[xrfm]
tabarena[sap-rpt-oss]
tabarena[tabfm]
tabarena[tabstar]
tabarena[perpetualboosting]
tabarena[orionmsp]
tabarena[limix]
tabarena[tabpfnwide]
tabarena[iltm]
tabarena[chimeraboost]
tabarena[ctboost]
tabarena[nori]
tabarena[aplr]
tabarena[tabswift]
tabarena[exaone_tabular]
tabarena[tabldm]
tabarena[mitra_v2]
tabarena[tabpfn_3_5]

[iltm]
iltm>=0.1.1

[limix]
einops
kditransform

[limix_2]
nvtx

[mitra_v2]
autogluon.tabular[mitra]<1.7,>=1.6

[modernnca]
category_encoders

[nori]
synthefy-nori>=0.10.0

[orionmsp]
tabtune==0.1.18

[perpetualboosting]
perpetual

[plot]
bencheval[plot]==0.1.1.dev20260918191841
tueplots
autorank==1.2.1
adjusttext

[preprocessing]
skrub

[probmetrics]
probmetrics
pytorch-minimize

[realmlp]
pytabkit<2.0,>=1.5.0

[sap-rpt-oss]

[search_spaces]
configspace<2.0,>=1.2

[tabdpt]
tabdpt>=1.2.0

[tabfm]

[tabicl]
tabicl>=2.0.0

[tabldm]

[tabm]
torch
tabm>=0.0.3
rtdl_num_embeddings>=0.0.12

[tabpfn]
tabpfn>=8.0.8
tabpfn-extensions[many_class]>=0.6.1

[tabpfn_3_5]
tabpfn>=9.0.0

[tabpfnwide]
tabpfnwide>=0.3.0

[tabstar]
tabstar==1.1.15

[tabswift]

[text]
sentence_transformers>=5.4

[xrfm]
xrfm[cu12]
