requirements.txt

timeeval>=1.2.10
timeeval-gutentag>=1.3
numpy>=1.23,<1.24
pandas>=1.4,<2
scikit-learn==1.2.0
scikit-learn-extra==0.3.0
plotly>=5.9
matplotlib>=3.6
stumpy
numba>=0.58
pyod>=0.9.2
joblib>=1.2
scipy>=1.10
nx-config==0.2.0b5
# pynisher>=1.0.5
pynisher @ git+https://github.com/CodeLionX/pynisher.git@feat/rss#egg=pynisher
periodicity-detection>=0.1.2
durations>=0.3.3
tqdm>=4.64
docker==6.1.1
shtab>=1.6.0

# for dwt-mlead
pywavelets>=1.4.1

# for thresholding
pythresh>=0.2.9
spectrum==0.8.1

# for baselines (rank aggregation)
cvxpy>=1.4.1
pyflagr>=1.0.8

# for optimization
optuna==3.2
psycopg2-binary>=2.9.5

# for optuna terminator (botorch)
# pyro-api, multipledispatch, mpmath, lit, cmake, sympy, opt-einsum, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, nvidia-cusolver-cu11, nvidia-cudnn-cu11, triton, torch, linear-operator, pyro-ppl, gpytorch, botorch

# for result storing
sqlalchemy>=2.0

# for plotting dataset consolidation in optimization
networkx==3.1

# for notebooks
jupyter==1.0.0
notebook>=6.5
seaborn>=0.12

# for streamlit app
streamlit>=1.34.0