Jupyter Notebook Derivatives

Open-source Jupyter Notebook projects categorized as Derivatives

Top 4 Jupyter Notebook Derivative Projects

  • gs-quant

    Python toolkit for quantitative finance

  • Project mention: gs-quant: NEW Derivatives and Hedging - star count:2095.0 | /r/algoprojects | 2023-09-22
  • FinancePy

    A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

  • Project mention: FinancePy: NEW Derivatives and Hedging - star count:1675.0 | /r/algoprojects | 2023-11-10
  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • compendium

    The Greatest Collection of anything related to finance and crypto

  • notebooks

    Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. (by differential-machine-learning)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook Derivatives related posts

Index

What are some of the best open-source Derivative projects in Jupyter Notebook? This list will help you:

Project Stars
1 gs-quant 2,456
2 FinancePy 1,898
3 compendium 189
4 notebooks 132

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