Baseball Mlops
D 56 completed
Other
containerized / python · tiny
19
Files
2,199
LOC
1
Frameworks
4
Languages
Pipeline State
completedRun ID
#394584Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
31.17Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47563
Member of a group with 1 similar repo(s) — canonical #117037 view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
AI Prompt
Create a full MLOps pipeline for predicting MLB player performance using MLB Statcast data. The system should use LightGBM trained on features like EV, Barrel%, and xwOBA to predict a hitter's next year wOBA and a pitcher's xFIP. I need a FastAPI backend (running on port 8002) that automatically loads the latest model from W&B and exposes endpoints for predictions (e.g., `/predict/hitter/{name}`) and rankings. Additionally, build a Streamlit dashboard to visualize the predictions, compare ML results against the traditional Marcel method, and include a mechanism for weekly auto-retraining via GitHub Actions that updates the model in W&B.
python fastapi streamlit mlops lightgbm mlb statcast docker github-actions
Generated by gemma4:latest
Catalog Information
MLB Statcast × MLOps — Weekly auto-retrained player performance prediction
Description
MLB Statcast × MLOps — Weekly auto-retrained player performance prediction
Novelty
3/10Tags
python fastapi streamlit mlops lightgbm mlb statcast docker github-actions
Technologies
fastapi streamlit
Claude Models
claude-opus-4-6
Quality Score
D
56.4/100
Structure
60
Code Quality
55
Documentation
56
Testing
15
Practices
66
Security
100
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- No tests found \u2014 high risk of regressions
- 199 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Add a linter configuration to enforce code style consistency
Security & Health
4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
Repobility (the analyzer behind this table) · https://repobility.com
MIT
License
4.0%
Duplication
Languages
Frameworks
FastAPI
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility · code-quality intelligence platform · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | MLB Statcast × MLOps — Weekly auto-retrained player performance prediction | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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