Repository intelligence

PyPortfolio/PyPortfolioOpt

GitHub

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

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 90/100
Good fit if

Teams whose requirements match this repository’s core capability.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
Teams whose requirements match this repository’s core capability.
Main trade-offs
Review deployment and security evidence before production adoption.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
1
CLOUDM0N scanner findings
Critical
0
High
0
Medium
1
Low
0
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 2 sample match(es) found.
Architecture from code7 modules · 2 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
40
Modules
7
Dependency edges
2
Core modules
example
1 files
pypfopt
18 files
Dependency flow
examplepypfopt
Detected languages
Python
Detected frameworks
NumPy · pandas · scikit-learn
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:#397975
Agent handoff
Use with any agent
JSON API
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