matplotlib>=3.0.0
scipy>1.14
pandas>=1.5.0
numpy>=2.0.0
msgpack-numpy>=0.4.3.2
spacy>=3.8.2
scipy>=1.1.0
scikit-learn>=1.0
nltk>=3.4
dill>=0.2.9
joblib>=0.13.2
clean-text>=0.6.0
unidecode>=1.1.1
tqdm>=4.64.0
pymongo>=4.0
pyyaml>=5.4.1
dnspython>=1.16.0
thinc<8.4.0,>=8.3.0
h5py==3.12.1
numexpr>=2.8.0
ruff>=0.4.8
bottleneck
accelerate
peft
bitsandbytes
transformers
unsloth
trl>=0.12.2
tensorflow>=2.18.0
tf-keras<3.0.0,>=2.17.0

[craft]
torch>=0.12

[forecaster]
torch>=0.12
datasets
