PyPortfolio/PyPortfolioOpt
GitHubFinancial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.
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Architecture from code7 modules · 2 edges▼
Modules and dependency edges extracted from repository code. This is code evidence, not README inference.
Architecture evidence details
flowchart TD
%% pyportfolioopt — high-level architecture (DRAFT, refine me)
n0["docs · documentation · 1 file"]
n1["example · 1 file"]
n2["pypfopt · 18 files"]
n3["tests · tests · 20 files"]
n1 --> n2
n3 --> n2
class n0 docs
class n3 test
classDef docs fill:#9d7660,color:#ffffff,stroke:#7c5d4c
classDef test fill:#499894,color:#ffffff,stroke:#397975Nearby repositories worth comparing before adoption.
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