AI Analysis
The package antescofo v0.1.2 has low individual risks but the lack of an existing repository and the maintainer having only one package raises suspicion.
- Metadata risk due to non-existent repository
- Single-package maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository is not found and the maintainer has only one package, which could indicate a less established or potentially suspicious activity.
Package Quality Overall: Low (4.8/10)
Test suite present — 4 test file(s) found
4 test file(s) detected (e.g. __init__.py)
Some documentation present
Documentation URL: "Documentation" -> https://antescofo-doc.ircam.fr/Detailed PyPI description (8464 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
89 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
1 maintainer concern(s) found
Author "Antescofo Python Interface Contributors" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a real-time music performance tracking system using the Python package 'antescofo', which serves as an interface for Antescofo, a score-following and synchronous programming language for music. Your goal is to create a mini-app that allows musicians to input a musical score and then track their live performance against that score, providing feedback on timing and synchronization. Steps to develop the app: 1. Set up a Python environment with the necessary dependencies, including 'antescofo'. 2. Design a user-friendly interface where users can upload a musical score in a supported format (e.g., MIDI). 3. Implement functionality to parse the uploaded score using 'antescofo' and display it in a readable format within the app. 4. Integrate a live audio input from a musician's instrument or recording device. 5. Use 'antescofo' to synchronize the live performance with the parsed score, displaying real-time feedback such as notes played, timing accuracy, and synchronization status. 6. Optionally, add features like visual cues (lights, colors) to indicate when the performer is ahead of or behind the score. 7. Include a feature to record the performance along with the synchronized score for later analysis or playback. 8. Ensure the app can handle different time signatures and tempo changes dynamically during the performance. Suggested Features: - Support for multiple musical instruments and sound sources. - Ability to save and load sessions, allowing users to work on performances over multiple sessions. - Real-time visualization of the score progression, highlighting current and upcoming measures. - Export options for recorded performances in various formats (e.g., MIDI, audio files). - Integration with common digital audio workstations (DAWs) for seamless workflow. How 'antescofo' is utilized: - To parse and interpret the musical score. - For real-time synchronization between the live performance and the score. - To provide accurate timing feedback based on the performance data.
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