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@@ -45,6 +45,8 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [hasura/base-python-dash](https://platform.hasura.io/hub/projects/hasura/base-python-dash) - Hasura quickstart to deploy Dash framework. Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python.
 - [hasura/base-python-bokeh](https://platform.hasura.io/hub/projects/hasura/base-python-bokeh) - Hasura quickstart to visualize data with bokeh library.
 - [pysabr](https://github.com/ynouri/pysabr) - SABR model Python implementation.
+- [FinancePy](https://github.com/domokane/FinancePy) - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
+- [FinancePy-Examples](https://github.com/domokane/FinancePy-Examples) - Examples of how to use FinancePy
 
 ### Indicators
 - [pandas_talib](https://github.com/femtotrader/pandas_talib) - A Python Pandas implementation of technical analysis indicators.