Jampy

D 58 completed
Cli Tool
cli / python · tiny
20
Files
1,860
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#371430
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
22.00
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47804
Member of a group with 2 similar repo(s) — canonical #73474 view group →
Top concepts (2)
Project DescriptionData/ML
Repobility · MCP-ready · https://repobility.com

AI Prompt

Create a command-line tool in Python called Jam.py for musicians to manage music recording sessions. The tool needs to handle setting up a studio by configuring the studio name, recording devices, and instruments. Key features include creating new projects, updating a setlist by scanning audio files (FLAC, WAV, MP3, M4A) in a backing tracks directory, and managing session recording. During a session, the CLI must allow real-time recording of an instrument over a backing track, with controls to start, restart, and end a take. It should also support volume adjustments for the backing track and allow for multi-instrument layering by playing back previous takes while recording a new part.
python cli audio-processing music-production command-line
Generated by gemma4:latest

Catalog Information

jampy is a tool for managing music recording sessions.

Description

jampy is a Music Recording Session Manager that helps you organize and keep track of your recording sessions. It's designed to simplify the process of managing multiple tracks, takes, and edits. With jampy, you can easily schedule sessions, assign tasks, and monitor progress. This tool is ideal for music producers, engineers, and artists who need a centralized platform to manage their recording sessions.

الوصف

هو أداة لإدارة جلسات التسجيل الموسيقي. يساعدك jampy في تنظيم وتتبع جلسات التسجيل الخاصة بك. مصمم لسهولة إدارة الملفات المتعددة، والتسجيلات والتعديلات. يمكنك بسهولة جدولة الجلسات، ووضع المهام، وتحديد التقدم باستخدام jampy. هذه الأداة مثالية للمصممي الموسيقيين ومهندسي التسجيل والموسيقيين الذين يحتاجون إلى منصة مركزية لإدارة جلساتهم.

Novelty

5/10

Tags

music-recording session-management task-assignment progress-tracking scheduling

Technologies

click numpy

Claude Models

claude-opus-4.6

Quality Score

D
58.5/100
Structure
55
Code Quality
64
Documentation
70
Testing
0
Practices
74
Security
100
Dependencies
60

Strengths

  • Code linting configured (ruff (possible))
  • 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
  • 184 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 LICENSE file (MIT recommended for open source)

Security & Health

4.6h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
Unknown
License
4.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
92.4%
markdown
6.7%
toml
0.9%

Frameworks

None detected

Concepts (2)

Repobility analysis · methodology at https://repobility.com/research/
CategoryNameDescriptionConfidence
Repobility · code-quality intelligence · https://repobility.com
auto_descriptionProject DescriptionA CLI application for musicians to record instruments over backing tracks, manage songs/albums, and track completed takes.80%
auto_categoryData/MLdata-ml70%

Quality Timeline

1 quality score recorded.

View File Metrics

Embed Badge

Add to your README:

![Quality](https://repos.aljefra.com/badge/95640.svg)
Quality BadgeSecurity Badge
Export Quality CSVDownload SBOMExport Findings CSV