astro-resolver

v0.4.5 suspicious
5.0
Medium Risk

Astrophotography toolkit: object name resolution, FITS subframe quality analysis.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks such as network or shell exploitation, but the absence of maintainer information and lack of a GitHub repository raise concerns about its legitimacy.

  • Lack of maintainer contact information
  • No associated GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal for most utility packages like 'astro-resolver'.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
  • Metadata: The package shows some red flags due to lack of maintainer information and no associated GitHub repository, but there's insufficient evidence to conclude it is malicious.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6105 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 31 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

Email domain looks legitimate: mailbox.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ 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 astro-resolver 
Develop a Python-based mini-application called 'SkyWatcher' which leverages the 'astro-resolver' package to enhance astrophotography enthusiasts' experience. This application will serve as a tool for resolving astronomical object names from images, analyzing subframe quality of FITS files, and providing insights into the captured data.

The application should have the following core functionalities:
1. **Image Object Resolution**: Users can upload an image taken through their telescope, and the application will use 'astro-resolver' to identify celestial objects within the image. It should return a list of recognized objects along with their positions in the image.
2. **FITS File Quality Analysis**: For advanced users, the app should allow uploading FITS files (commonly used in astronomy for storing observational data). Using 'astro-resolver', it will analyze the subframes of the FITS file, identifying any anomalies or areas of high interest in the dataset.
3. **Interactive Visualization**: The application should provide an interactive visualization of the resolved objects or analyzed subframes, allowing users to zoom in, pan, and explore different parts of the image or dataset.
4. **Report Generation**: After processing the uploaded data, the app should generate a report summarizing the findings, including the names of identified objects, quality metrics of subframes, and any notable observations.

To utilize 'astro-resolver', your task includes integrating its functions for object name resolution and FITS file analysis directly into the application's workflow. Ensure that the application is user-friendly, with clear instructions on how to use each feature, and that it provides meaningful output based on the input data provided by the user.

💬 Discussion Feed

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