astroapers

v0.1.2 suspicious
4.0
Medium Risk

Rust-backed aperture overlap and summation utilities

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low direct risks but raises concerns due to the maintainer's low activity and potential inexperience, suggesting a need for closer monitoring.

  • Low repository activity
  • Maintainer's potential inexperience
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's low activity and the maintainer's new/inactive status raise concerns.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://ysbach.github.io/astroapers/
  • Detailed PyPI description (5022 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 197 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 24 commits in ysbach/astroapers
  • Single author but highly active (24 commits)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with astroapers 
Create a Python-based astronomical data processing tool named 'SkySummarizer'. This tool will leverage the 'astroapers' package to efficiently handle aperture photometry tasks on large astronomical datasets. Your task is to design and implement a user-friendly command-line interface (CLI) that allows astronomers to upload FITS files containing celestial images, specify regions of interest (ROI) using circular apertures, and perform aperture photometry. The output should include the summed flux within each specified aperture, as well as any overlaps between different apertures.

Key Features:
1. Upload FITS file(s) via CLI.
2. Define multiple circular apertures on the image.
3. Handle aperture overlaps and sum fluxes accordingly.
4. Output results in a CSV format for further analysis.
5. Include a help menu to guide users through the process.
6. Optimize performance using the 'astroapers' package for heavy-duty calculations.

The 'astroapers' package will be crucial for managing the complex calculations required for aperture photometry, especially when dealing with overlapping apertures. Ensure that you utilize its core functionalities to accurately sum fluxes while accounting for potential overlaps. Additionally, consider adding a feature to visualize the apertures and their overlaps on the uploaded images, enhancing the tool's usability.

💬 Discussion Feed

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