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)
gs-quant
Python toolkit for quantitative finance (by goldmansachs)
| FinancePy | gs-quant | |
|---|---|---|
| 97 | 98 | |
| 2,385 | 8,820 | |
| 2.6% | 2.4% | |
| 7.8 | 8.7 | |
| about 2 months ago | 12 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
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.
gs-quant
Posts with mentions or reviews of gs-quant.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-06-29.
-
Goldman Sachs Python toolkit for quantitative finance
This is bizarrely over engineered?
https://github.com/goldmansachs/gs-quant/blob/51a7ff1afb722c...
- gs-quant: NEW Derivatives and Hedging - star count:2095.0
- gs-quant: NEW Derivatives and Hedging - star count:1942.0
- gs-quant: NEW Derivatives and Hedging - star count:1768.0
What are some alternatives?
When comparing FinancePy and gs-quant you can also consider the following projects:
alphalens - Performance analysis of predictive (alpha) stock factors
fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
resistance - Pre-crisis Risk Management for Personal Finance
okama - Investment portfolio and stocks analyzing tools for Python with free historical data
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.