arcsecond-service-platesolver-astrometry

v1.2.4 safe
3.0
Low Risk

Arcsecond plate solver based on astrometry.net indexes

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks across all categories except for metadata, which suggests potential low maintenance. However, there is no concrete evidence of malicious activity.

  • Low network, shell, obfuscation, and credential risks
  • Potential low maintenance indicated by metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • 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 low number of packages by the author and lack of PyPI classifiers suggest a lower level of maintenance or effort, which could indicate potential risk.

📦 Package Quality Overall: Low (3.6/10)

○ 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 (1814 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

  • 5 type-annotated function signatures (partial)
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 70 commits in arcsecond-io/arcsecond-service-platesolver-astrometry
  • Single author but highly active (70 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 "Arcsecond" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with arcsecond-service-platesolver-astrometry 
Create a Python-based astronomical image processing tool named 'SkyMapper' that leverages the 'arcsecond-service-platesolver-astrometry' package to solve for the position of celestial objects in images taken from amateur telescopes. This tool will enable users to upload their astronomical images, and it will automatically detect and label stars and other celestial objects within the image. Here’s a detailed breakdown of the project steps and features:

1. **Project Setup**: Begin by setting up a Python environment with all necessary packages including 'arcsecond-service-platesolver-astrometry', 'numpy', 'matplotlib', and 'PIL'. Ensure you have a virtual environment to manage dependencies.

2. **Image Upload Interface**: Develop a simple command-line interface where users can upload their astronomical images. For a more advanced version, consider integrating a web-based interface using Flask or Django.

3. **Image Processing**: Utilize the 'arcsecond-service-platesolver-astrometry' package to process uploaded images. The goal is to solve for the position of celestial objects within the image. This involves sending the image data to the plate solver service provided by Arcsecond, which returns the solved coordinates.

4. **Coordinate Labeling**: Once the positions are determined, overlay these coordinates on the original image. Use matplotlib to plot the positions of detected stars and label them with their corresponding celestial coordinates (Right Ascension and Declination).

5. **User Feedback**: Provide feedback to the user about the success of the plate solving process. If successful, display the processed image with labels. If not, provide error messages indicating potential issues such as poor image quality or lack of recognizable stars.

6. **Additional Features**:
   - **Catalog Integration**: Integrate with astronomical catalogs like SIMBAD or NED to retrieve additional information about identified objects.
   - **Visualization Enhancements**: Allow users to zoom in on specific areas of the image, adjust color schemes, and save the processed image.
   - **Batch Processing**: Enable batch processing of multiple images at once.

7. **Documentation and Testing**: Write comprehensive documentation for both developers and end-users. Include clear instructions on installation, usage, and troubleshooting. Perform thorough testing to ensure reliability and accuracy of the plate solving process.

This project aims to democratize access to sophisticated astronomical image analysis tools, making it easier for amateur astronomers and educators to explore the night sky.

💬 Discussion Feed

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