allotax

v0.3.1 safe
4.0
Medium Risk

Fast allotaxonometer computation powered by Rust

🤖 AI Analysis

Final verdict: SAFE

The allotax package appears to be safe based on the provided analysis notes. There are no indications of network risks, shell risks, obfuscation, or credential harvesting. While there are some metadata concerns, they do not rise to the level of suggesting a supply-chain attack.

  • No network calls or shell executions detected.
  • Low risk of obfuscation and credential harvesting.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, indicating the package does not execute system commands without user interaction.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags such as an author with a missing name and a new account, but no clear evidence of typosquatting or other malicious activities.

📦 Package Quality Overall: Low (3.0/10)

○ 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 (1821 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
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 16 commits in Vermont-Complex-Systems/allotaxonometer-core
  • 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

Email domain looks legitimate: gmail.com>

✓ 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 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 allotax 
Create a Python-based taxonomic classification tool named 'TaxoClassify' using the 'allotax' library. This tool will enable users to classify biological samples based on their genetic sequences. Here's a detailed plan for building TaxoClassify:

1. **Project Setup**: Initialize a new Python project. Install the 'allotax' package and any additional libraries necessary for handling genetic sequence data.
2. **Data Input Handling**: Implement functionality to allow users to input genetic sequences either via command line arguments or a simple GUI interface.
3. **Sequence Processing**: Utilize 'allotax' to process the input sequences. Ensure that the tool supports common sequence formats like FASTA.
4. **Classification Algorithm**: Integrate the core functionalities of 'allotax' to classify the sequences into taxonomic categories such as Kingdom, Phylum, Class, Order, Family, Genus, and Species.
5. **Output Display**: Design a user-friendly output display to present the classification results. Include confidence scores for each classification level if available from 'allotax'.
6. **Optional Features**:
   - Add a feature to save the classification results into a CSV file.
   - Incorporate a database to store past classifications and allow users to search or filter previous results.
7. **Testing and Documentation**: Write tests to ensure the accuracy of the classification and document the code thoroughly, explaining how to use the tool and how it leverages 'allotax'.
8. **Deployment**: Package the tool for easy deployment. Consider creating a Docker image for consistent execution across different environments.

By following these steps, you'll develop a powerful yet accessible tool for biologists and researchers to quickly classify genetic sequences.

💬 Discussion Feed

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