anybioimage

v0.3.1 safe
3.0
Low Risk

Interactive image viewer widget for Jupyter/marimo with annotation tools and SAM integration

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity based on the analysis notes. However, the metadata suggests that the maintainer has only one package on PyPI, which could be a minor concern.

  • No network calls or shell executions detected.
  • Low risk of obfuscation and credential theft.
  • Maintainer has only one package on PyPI.
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 the package does not execute external commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has only one package on PyPI, which may indicate a new or less active account.

📦 Package Quality Overall: Low (4.2/10)

○ 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://maartenpaul.github.io/anybioimage/
  • Detailed PyPI description (4118 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

  • 34 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 93 commits in maartenpaul/anybioimage
  • Two distinct contributors found

🔬 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

Repository maartenpaul/anybioimage appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Maarten Paul" 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 anybioimage 
Create a bioinformatics mini-app using the Python package 'anybioimage' that allows researchers to interactively explore and annotate biological images. This app will serve as a tool for biologists to analyze cell structures, tissues, or other biological entities within images. The application should integrate the Segment Anything Model (SAM) for automatic segmentation and annotation of objects within the images, providing users with the ability to refine these annotations manually if necessary.

Step-by-Step Instructions:
1. Set up a new Jupyter notebook or marimo app environment.
2. Install the 'anybioimage' package along with any dependencies it requires.
3. Load a set of pre-selected biological images into the app for initial testing.
4. Use 'anybioimage' to create an interactive image viewer widget where users can zoom in/out, pan around, and select regions of interest.
5. Integrate SAM into the application to automatically segment selected regions within the images.
6. Implement manual annotation tools within the viewer for users to correct or enhance SAM-generated annotations.
7. Add functionality to save annotated images and their metadata for future reference or further analysis.
8. Optionally, include features such as image comparison (overlaying different annotations or time-lapse sequences), basic image processing (e.g., contrast adjustment, filtering), and exporting annotations in common formats (e.g., JSON).

Suggested Features:
- User-friendly interface for easy navigation through images.
- Real-time feedback on SAM segmentation results.
- Undo/redo capabilities for annotation edits.
- Support for multiple annotation layers.
- Option to export annotations and segmented images in various formats.

How 'anybioimage' is Utilized:
- The core functionalities of 'anybioimage', including its interactive viewer and annotation tools, form the backbone of the application. Users will interact directly with these components to explore and annotate images. The package's SAM integration will facilitate advanced image analysis tasks, enabling researchers to quickly identify and label key features within complex biological images.

💬 Discussion Feed

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