Empyrial VS Riskfolio-Lib

Compare Empyrial vs Riskfolio-Lib and see what are their differences.

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Empyrial Riskfolio-Lib
7 193
869 2,691
- -
8.1 7.4
3 months ago 8 days ago
Python C++
MIT License BSD 3-clause "New" or "Revised" 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.

Empyrial

Posts with mentions or reviews of Empyrial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

Riskfolio-Lib

Posts with mentions or reviews of Riskfolio-Lib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-16.

What are some alternatives?

When comparing Empyrial and Riskfolio-Lib you can also consider the following projects:

quantstats - Portfolio analytics for quants, written in Python

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

alphalens - Performance analysis of predictive (alpha) stock factors

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

senate-stock-watcher-data - Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com

pyrb - Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python

goplan-app - An intuitive portfolio mangaer !

finam-export - Python client library to download historical data from finam.ru

The-Oracle - 🤖 Predict the stock market with AI 用AI预测股票市场 [Moved to: https://github.com/ssantoshp/Beibo]

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

Finance - Study resources for quantitative finance

backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.