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domokane avatar

domokane/FinancePy

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3,004 stars·410 forks·Jupyter Notebook·GPL-3.0·10 views

FinancePy

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

Features

  • AI and Machine Learning - Library for pricing and risk management of derivatives.
  • Financial Analytics - Pricing and risk management for financial derivatives.
  • Financial Analytics Tools - Library for pricing and risk management of derivatives.
  • Financial Instruments and Pricing - Pricing and risk management for derivatives and fixed-income assets.

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Open-source alternatives to FinancePy

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  • google/tf-quant-financegoogle avatar

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    This is a quantitative finance library built on TensorFlow for financial engineering, asset pricing, and risk management. It serves as a financial derivative pricing engine, a model calibration tool, and a hardware-accelerated math library for numerical tasks. The library provides specialized capabilities for pricing financial assets using standard models and American option logic, as well as calibrating pricing models to market data through local volatility. It includes tools for constructing yield curves via bootstrapping algorithms and monotone convex interpolation. The framework covers a

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    View on GitHub↗5,404
  • pmorissette/ffnpmorissette avatar

    pmorissette/ffn

    2,607View on GitHub↗

    ffn - a financial function library for Python

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    View on GitHub↗2,607
  • enthought/pyqlenthought avatar

    enthought/pyql

    1,309View on GitHub↗

    Cython QuantLib wrappers

    Cythoncythonquantlib
    View on GitHub↗1,309
  • dcajasn/riskfolio-libdcajasn avatar

    dcajasn/Riskfolio-Lib

    3,784View on GitHub↗

    Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for calculating optimal asset allocations using convex risk measures and mathematical programming solvers, supporting linear, quadratic, and semidefinite programming. The library features a hierarchical risk parity framework and financial asset clustering tools to group similar instruments and improve diversification. It includes a portfolio backtesting engine for simulating investment strategies using historical data and cross-validation. The system covers a broad range of quant

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    View on GitHub↗3,784
See all 30 alternatives to FinancePy→

Frequently asked questions

What does domokane/financepy do?

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

What are the main features of domokane/financepy?

The main features of domokane/financepy are: AI and Machine Learning, Financial Analytics, Financial Analytics Tools, Financial Instruments and Pricing.

What are some open-source alternatives to domokane/financepy?

Open-source alternatives to domokane/financepy include: google/tf-quant-finance — This is a quantitative finance library built on TensorFlow for financial engineering, asset pricing, and risk… enthought/pyql — Cython QuantLib wrappers. pmorissette/ffn — ffn - a financial function library for Python. heerozh/spectre — GPU-accelerated Factors analysis library and Backtester. greyblake/ta-rs — Technical analysis library for Rust language. dcajasn/riskfolio-lib — Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for…