alphafold3-seqvis-toolkit

v0.2.1 suspicious
4.0
Medium Risk

Visualization & analysis toolkit for AlphaFold3 outputs.

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to potential issues with its metadata, despite having low risks in other categories such as network and shell execution.

  • Metadata risk of 4/10
  • No clear evidence of malicious intent but requires further investigation
Per-check LLM notes
  • Network: No network calls detected, which is normal for a tool focused on local sequence visualization.
  • Shell: No shell executions detected, consistent with an application designed solely for processing and visualizing sequence data.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating secure handling of secrets and credentials.
  • Metadata: The package shows some red flags but no clear evidence of typosquatting or malicious intent.

📦 Package Quality Overall: Low (2.2/10)

○ 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 (61353 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 9 commits in MaybeBio/AlphaFold3-SeqVisToolkit
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: gmail.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://makeapullrequest.com
✓ Git Repository History

Repository MaybeBio/AlphaFold3-SeqVisToolkit appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 alphafold3-seqvis-toolkit 
Create a mini-application called 'ProteinExplorer' using the Python package 'alphafold3-seqvis-toolkit'. This application will allow users to upload their protein sequence data and visualize it in various ways, providing insights into the structure and properties of the protein.

Steps to develop the application:
1. Set up the environment by installing necessary libraries including 'alphafold3-seqvis-toolkit', 'matplotlib', and 'pandas'.
2. Design a user-friendly interface where users can input their protein sequences in FASTA format.
3. Implement functionality to process the uploaded sequences using 'alphafold3-seqvis-toolkit' to generate structural predictions.
4. Create visualizations of the predicted structures using tools from 'alphafold3-seqvis-toolkit' such as heatmaps, 3D models, and secondary structure plots.
5. Add features to compare multiple protein sequences side-by-side, highlighting similarities and differences in their structures.
6. Include an option to download the visualizations as image files for further use or publication.
7. Ensure the application is responsive and can handle large datasets efficiently without crashing.

Suggested Features:
- Interactive 3D model viewing with rotation and zoom functionalities.
- Heatmap visualization showing regions of high structural confidence.
- Secondary structure prediction and visualization.
- Comparison tool for up to 5 different proteins at once.
- Download options for images in PNG and PDF formats.

The 'alphafold3-seqvis-toolkit' package will be utilized extensively throughout the development process. It will be used for processing the input sequences, generating structural predictions, and creating the visualizations. Additionally, explore its documentation to find any other useful utilities that could enhance the functionality of ProteinExplorer.

💬 Discussion Feed

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