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OIPD is published on PyPI as oipd and installs with a single pip command. Two install variants are available: the standard install, which bundles the yfinance data connection for fetching live options chains, and the minimal install, which omits external data vendors for use in corporate or air-gapped environments.

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Install

pip install oipd
The [minimal] extra installs all core computational dependencies but excludes yfinance and any other external data vendor integrations. Use this variant when your organisation manages its own options data pipeline, or when external network access is restricted. You can still load data from a CSV file or a Pandas DataFrame with the minimal install.

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Dependencies

Both install variants include the following core dependencies:
PackageMinimum version
numpy2.0.0
pandas2.2.2
scipy1.13.0
matplotlib3.9.0
matplotlib-label-lines0.6.0
plotly5.x
traitlets5.12.0
The standard install additionally includes yfinance>=0.2.60 for live market data access.

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Verify

After installing, confirm that OIPD imported correctly by running the following in your Python environment: 
import oipd
print(oipd.__version__)
If the version number prints without error, your installation is working.

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Next steps

Quickstart

Fetch a live options chain and compute your first market-implied probability distribution.

Introduction

Learn about OIPD’s four core objects and the scikit-learn-style configure → fit → query mental model.