Pipeline Cloud server packages

A list of the packages available on Pipeline Cloud. For customers on our enterprise plans, we can add packages to our servers upon request. For all other users, we recommend developing in a virtual environment with Python 3.9 and the same packages (and versions) as shown below to simulate best how your pipeline will run on our servers:

accelerate==0.10.0
arize==5.0.3
catboost==1.1
cupy-cuda113==10.6.0
deepspeed==0.5.10
detectron2==git+https://github.com/facebookresearch/detectron2.git@115dc5c8bfd434f9a3f5070147d863d9419cfb7e
diffusers==git+https://github.com/huggingface/diffusers.git@5755d16868ec3da7d5eb4f42db77b01fac842ea8
einops==0.4.1
h5py==3.7.0
huggingface-hub==0.10.0
imageio==2.22.3
imageio-ffmpeg==0.4.7
keras==2.8.0
Keras-Preprocessing==1.1.2
matplotlib==3.6.1
nltk==3.7
numpy==1.21.0
onnxruntime-gpu==1.12.1
opencv-python==4.5.3.56
opt-einsum==3.3.0
pandas==1.5.0
Pillow==9.2.0
pipeline-ai==0.2.9
plotly==5.10.0
pyarrow==9.0.0
pywhisper==1.0.6
PyYAML==6.0
scikit-learn==1.1.2
scipy==1.9.2
seaborn==0.11.2
sentence-transformers==2.2.2
sentencepiece==0.1.97
spacy==3.4.3
spacy-legacy==3.0.10
spacy-loggers==1.0.3
sympy==1.11.1
tensorboard==2.8.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.8.0
tensorflow-hub==0.12.0
tensorflow-io-gcs-filesystem==0.27.0
tf-estimator-nightly==2.8.0.dev2021122109
tokenizers==0.12.1
torch==https://download.pytorch.org/whl/cu113/torch-1.12.0%2Bcu113-cp39-cp39-linux_x86_64.whl
torchvision==https://download.pytorch.org/whl/cu113/torchvision-0.13.0%2Bcu113-cp39-cp39-linux_x86_64.whl
transformers==4.21.2
wandb==0.13.4
xgboost==1.6.2