Installation
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The best way to familiarize yourself with this powerful library is to head straight to the
If you only want to download data into pandas please use the much lighter package.
Sovai is tested and supported on the following 64-bit systems:
Python 3.6 – 3.11
Python 3.9 for Ubuntu only
Ubuntu 16.04 or later
Windows 7 or later
numpy>=1.20
scipy>=1.0
pandas>=1.0
python-dateutil>=2.8
python-dotenv>=0.10
requests>=2.20
joblib>=1.0
pyarrow>=5.0
matplotlib>=3.0
plotly>=5.0
scikit-learn>=1.0
numba>=0.50
boto3>=1.20
dash>=2.0
great-tables>=0.9
polars>=0.20.30
ruptures>=1.0
shap>=0.40
skfolio>=0.3
statsforecast>=1.0
tensorly>=0.6
openai>=1.0
mfles>=0.2
pexpect>=4.9.0
lightgbm>=4.5.0
ipywidgets>=8.1.3
polars-talib==0.1.3
dash-bootstrap-components>=1.6.0
Docker uses containers to create virtual environments that isolate a Sovai installation from the rest of the system. Sovai docker comes pre-installed with a Notebook environment that can share resources with its host machine (access directories, use the GPU, connect to the Internet, etc.). The Sovai Docker images are tested for each release.
For docker image with full version:
In order to avoid potential conflicts with other packages, it is strongly recommended to use a virtual environment, e.g. .
Default dependencies that are installed with pip install sovai
are .