jaydev-dave/OptiFS

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What's novel

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Code Analysis

11 files read · 7 rounds

Automates a multi-objective CFD optimization workflow for a cylinder-in-pipe problem by integrating SpaceClaim CAD, Fluent Meshing, and OpenFOAM simulations via Python scripts.

Strengths

Strong separation of concerns between CAD, meshing, and solving stages; robust orchestration using pymoo; effective integration of proprietary software APIs (SpaceClaim, Fluent) with open-source tools (OpenFOAM).

Weaknesses

Lack of unit tests or error handling for simulation failures; fragile file path assumptions and cleanup logic that could delete important files; minor class naming inconsistency in plotter.py.

Score Breakdown

Innovation

5 (25%)

Craft

51 (35%)

Traction

8 (15%)

Scope

78 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+2

Craft

Ci-2

Tests-3

Polish+1

Releases+0

Has License+5

Code Quality+17

Readme Quality+15

Recent Activity+4

Structure Quality+5

Commit Consistency+4

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+8

Languages+5

Subsystems+5

Bloat Penalty+0

Completeness+7

Contributors+6

Authored Files+12

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

MIT