PyPortfolioOpt
Riskfolio-Lib
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PyPortfolioOpt | Riskfolio-Lib | |
---|---|---|
155 | 193 | |
4,123 | 2,682 | |
- | - | |
5.7 | 7.4 | |
about 1 month ago | 24 days ago | |
Jupyter Notebook | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
PyPortfolioOpt
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:3788.0
-
dcapal alternatives - PyPortfolioOpt and Riskfolio-Lib
3 projects | 16 Sep 2023
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:3706.0
Riskfolio-Lib
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2361.0
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2313.0
-
dcapal alternatives - PyPortfolioOpt and Riskfolio-Lib
3 projects | 16 Sep 2023
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2222.0
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2178.0
What are some alternatives?
bt - bt - flexible backtesting for Python
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
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.
okama - Investment portfolio and stocks analyzing tools for Python with free historical data
pyrb - Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python
universal-portfolios - Collection of algorithms for online portfolio selection
finam-export - Python client library to download historical data from finam.ru
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.