asymmetree

v2.3.1 suspicious
4.0
Medium Risk

Simulation of phylogenetic trees, sequences and genomes

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential usage. However, the metadata risk score is moderately high due to the maintainer's new or inactive account and lack of proper identification, raising concerns about potential misuse.

  • Metadata risk due to new/inactive maintainer account
  • Lack of proper maintainer identification
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on tree data structures.
  • Shell: No shell execution patterns detected, aligning with the expected functionality of 'asymmetree'.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which may indicate low effort or potential misuse.

📦 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 5.0

Some documentation present

  • Detailed PyPI description (2469 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

  • 199 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in david-schaller/AsymmeTree
  • Small but multi-author team (3–4 contributors)

🔬 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: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository david-schaller/AsymmeTree appears legitimate

⚠ 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 asymmetree 
Create a Python-based mini-application called 'PhyloSim' that simulates and visualizes phylogenetic trees, genetic sequences, and genomes using the 'asymmetree' library. Your application should allow users to generate synthetic datasets for evolutionary biology research. Here’s a detailed breakdown of the steps and features:

1. **Project Setup**: Start by setting up a virtual environment for your project and installing 'asymmetree'. Additionally, include other necessary packages such as matplotlib for visualization.
2. **User Interface**: Develop a simple command-line interface (CLI) where users can input parameters such as number of species, mutation rates, and tree depth.
3. **Tree Generation**: Implement functionality to simulate asymmetric phylogenetic trees based on user inputs. Use 'asymmetree' to generate these trees and ensure they reflect realistic evolutionary patterns.
4. **Sequence Evolution**: Extend the application to simulate genetic sequences evolving along the branches of the generated trees. This should include the ability to specify different types of nucleotide or amino acid substitutions.
5. **Genome Construction**: Allow users to construct simple genomes from the simulated sequences, optionally including introns, exons, and non-coding regions.
6. **Visualization**: Integrate visualization capabilities so that users can view the generated phylogenetic trees and genomic structures. Ensure that the visualizations are clear and informative.
7. **Output Options**: Provide options for exporting the simulation results in various formats, such as PNG images for trees and FASTA files for sequences.
8. **Documentation**: Write comprehensive documentation explaining how to install and use PhyloSim, including examples and best practices for parameter settings.

This project will not only serve as a practical tool for researchers but also demonstrate the powerful capabilities of 'asymmetree' in simulating complex biological systems.

💬 Discussion Feed

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