Dam Course
F 46 completed
Other
unknown / python · tiny
48
Files
7,853
LOC
0
Frameworks
3
Languages
Pipeline State
completedRun ID
#396944Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
28.97Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47299
Member of a group with 1 similar repo(s) — canonical #94036 view group →
Top concepts (2)
Project DescriptionData/ML
About: code-quality intelligence by Repobility · https://repobility.com
AI Prompt
Create a comprehensive data analysis and management course repository structure using Python. I need the project to include several Python scripts for different phases of learning, like `gen_phase1.py` through `gen_phase4.py`. Please organize the datasets into a `datasets/` directory, separating them by phase (e.g., `phase_1/`, `phase_2/`, `phase_3/`). Also, include placeholder directories for `lesson_plans/` and `notebooks/`. The README should clearly explain that this is for the Code2College DAM course and mention that notebooks can be opened directly in Google Colab.
python data-analysis management coursework scripting dataset notebook colab
Generated by gemma4:latest
Catalog Information
Code2College | HireWheel
Description
Code2College | HireWheel
Novelty
3/10Tags
python data-analysis management coursework scripting dataset notebook colab
Claude Models
claude-opus-4-6
Quality Score
F
45.9/100
Structure
37
Code Quality
55
Documentation
30
Testing
0
Practices
68
Security
100
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 263 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
- Address 141 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
42.3h
Tech Debt (E)
A
OWASP (100%)
FAIL
Quality Gate
B
Risk (22)
Repobility · code-quality intelligence platform · https://repobility.com
Unknown
License
30.9%
Duplication
Languages
Frameworks
None detected
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Code2College | HireWheel | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Data/ML | data-ml | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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