FinancePy VS notebooks

Compare FinancePy vs notebooks and see what are their differences.

FinancePy

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

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)
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FinancePy notebooks
97 1
1,898 132
- -
8.8 10.0
29 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FinancePy

Posts with mentions or reviews of FinancePy. We have used some of these posts to build our list of alternatives and similar projects.

notebooks

Posts with mentions or reviews of notebooks. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FinancePy and notebooks you can also consider the following projects:

DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

gs-quant - Python toolkit for quantitative finance

dcf-basic - Basic DCF model to quickly value public companies.

MEDIUM_NoteBook - Repository containing notebooks of my posts on Medium

alphalens - Performance analysis of predictive (alpha) stock factors

fastbook - The fastai book, published as Jupyter Notebooks

ruby-cff - A Ruby library for manipulating CITATION.cff files.

fastai - The fastai deep learning library