FinancePy VS alphalens

Compare FinancePy vs alphalens 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)

alphalens

Performance analysis of predictive (alpha) stock factors (by quantopian)
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FinancePy alphalens
62 62
1,317 2,591
- 2.6%
8.3 0.0
4 days ago 6 months 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.

FinancePy

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.

alphalens

Posts with mentions or reviews of alphalens. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-27.

What are some alternatives?

When comparing FinancePy and alphalens 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.

quantstats - Portfolio analytics for quants, written in Python

Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理

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

gs-quant - Python toolkit for quantitative finance

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

py - Repository to store sample python programs for python learning

ydata-quality - Data Quality assessment with one line of code

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

resistance - Pre-crisis Risk Management for Personal Finance

hca-resources - zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.