9.9. Supercharged resources/packages¶

A compendium of great python packages you can use, now that you have the skills needed to access the info below.

Please suggest others if you see something cool!

Package	Description	Where
streamlit, plotly, and shiny	Building interactive graphs, dashboards, and apps!	streamlit, plotly, shiny
OpenBloomberg	85% of a Bloomberg terminal for free, see the tweet below for a preview.	https://github.com/OpenBB-finance/OpenBBTerminal
pandas-datareader	Import a ton of data	https://pydata.github.io/pandas-datareader/remote_data.html
auto-sklearn	Automated Machine Learning with scikit-learn	https://github.com/automl/auto-sklearn
Open Source Asset Pricing	Data for asset pricing tests and code to replicate or use. If you are interested in asset pricing or trading, this is a MUST visit. It’s so cool that this is freely available, it blows my mind.	https://www.openassetpricing.com/data/
PyQL	QuantLib’s Python port.	https://github.com/enthought/pyql
QuantPy	A framework for quantitative finance In python.	https://github.com/jsmidt/QuantPy
vollib	Calculating option prices, implied volatility, and greeks	https://github.com/vollib/vollib
Finance-Python	Python tools for Finance	https://github.com/alpha-miner/Finance-Python
ffn	A financial function library for Python.	https://github.com/pmorissette/ffn
pynance	Lightweight Python library for assembling and analysing financial data.	https://github.com/GriffinAustin/pynance
pysabr	SABR model Python implementation.	https://github.com/ynouri/pysabr
FinancePy	Focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.	https://github.com/domokane/FinancePy
gs-quant	Goldman-Sachs toolkit for quantitative finance	https://github.com/goldmansachs/gs-quant
willowtree	Willow tree lattice for derivatives pricing.	https://github.com/federicomariamassari/willowtree
financial-engineering	Applications of Monte Carlo methods to financial engineering projects	https://github.com/federicomariamassari/financial-engineering
optlib	A library for financial options pricing written in Python.	https://github.com/dbrojas/optlib
tf-quant-finance	High-performance TensorFlow library for quantitative finance.	https://github.com/google/tf-quant-finance
Q-Fin	A Python library for mathematical finance.	https://github.com/RomanMichaelPaolucci/Q-Fin
Quantsbin	Tools for pricing and plotting of vanilla option prices, greeks, and various other analysis around them.	https://github.com/quantsbin/Quantsbin
finoptions	Complete python implementation of R package fOptions with partial implementation of fExoticOptions for pricing various options.	https://github.com/bbcho/finoptions-dev
AssayingAnomolies	Quickly check if your signal generates alpha	https://sites.psu.edu/assayinganomalies/
usaddress and probablepeople	Parsing messy names (people, address, firms)	https://github.com/datamade?q=&type=all&language=&sort=stargazers
SRAF	Textual analysis resources, designed for business text.	https://sraf.nd.edu/

OpenBBTerminal

This Twitter thread has a nice preview of the OpenBBTerminal package, and you can find more in the official GitHub documentation.

A Bloomberg subscription costs $24,000 per year.

But you can get nearly 85% of its features for free.

It's through an app called Open Bloomberg (aka OpenBB)

Here's how:

🧵
— Shravan Venkataraman 🔥🚀💰 (@theBuoyantMan) August 14, 2022

LeDataSciFi-2025

9.9. Supercharged resources/packages¶