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Yandex DataSphere
  • Getting started
  • Step-by-step instructions
    • All instructions
    • Creating a project
    • Installing dependencies
    • Running sample code in a notebook
    • Version control. Working with checkpoints
    • Managing computing resources
    • Clearing the interpreter state
    • Sharing a notebook
      • Publishing a notebook
      • Exporting a project
    • Changing a name or description
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    • Working with Git
    • Setting up integration with Data Proc
  • Concepts
    • Overview
    • Project
    • List of pre-installed software
    • Available commands
    • Computing resource configurations
    • Integration with version and data control systems
    • Integration with Data Proc
    • Quotas and limits
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  • Questions and answers
  1. Concepts
  2. List of pre-installed software

List of pre-installed software and available commands

  • List of pre-installed packages
  • Package versions

DataSphere already has pre-installed packages for data analysis and machine learning. If you are missing a package, you can install it right from the notebook cell.

List of pre-installed packages

  • NumPy
  • Pandas
  • scikit-learn
  • TensorFlow
  • TensorFlow Datasets
  • Keras
  • Matplotlib
  • CatBoost
  • XGBoost
  • LightGBM
  • Pytorch
  • Scipy
  • NLTK
  • DVC
  • PyArrow
  • Requests
  • packaging
  • cloudpickle
  • pybase64
  • Moto
  • cfn-lint
  • boto3
  • botocore
  • S3Fs
  • YaDisk
  • Google API Python Client
  • oauth2client
  • tqdm
  • PycURL
  • scp
  • autograd
  • torchvision
  • Neural Tangents
  • Dask
  • Gensim
  • Transformers
  • fastai
  • SoundFile
  • librosa
  • wget
  • sounddevice
  • psutil
  • plotly

Package versions

To view the version of the installed package, in the notebook cell run the command:

%pip show <Package name>

To view the list of installed packages and their versions, in the notebook cell run the command:

%pip list

See also

  • Installing dependencies
  • Computing resource configurations
  • Quotas and limits
  • All instructions
In this article:
  • List of pre-installed packages
  • Package versions
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