FinancePy VS dcf-basic

Compare FinancePy vs dcf-basic and see what are their differences.


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)
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FinancePy dcf-basic
62 7
1,307 19
- -
8.3 2.9
8 days ago about 1 year ago
Jupyter Notebook Python
GNU General Public License v3.0 only MIT License
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.


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

We haven't tracked posts mentioning FinancePy yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of dcf-basic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-15.
  • The fastest DCF calculator, ever.
    2 projects | | 15 Feb 2022
    Hey everyone, I created a website last weekend to do a quick DCF analysis of companies. All it needs is the ticker symbol. If you don't touch any other parameters, it will fetch the data from Yahoo Finance. So it's literally just one click. The code is open-source too.

What are some alternatives?

When comparing FinancePy and dcf-basic 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.

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

gs-quant - Python toolkit for quantitative finance

streamlit_finance - Stock analysis app with Streamlit and TA-lib.

okama - Investment portfolio and stocks analyzing tools for Python with free historical data

resistance - Pre-crisis Risk Management for Personal Finance

alphalens - Performance analysis of predictive (alpha) stock factors

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

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

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.

pyEX - Python interface to IEX and IEX cloud APIs