🤖 AI Analysis

Final verdict: SAFE

The package appears safe with no network calls, shell executions, obfuscations, or credential risks detected. However, the low metadata quality and new authorship suggest some caution.

Low risk scores across all detected categories.
New author and incomplete metadata.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The author seems new and the package lacks detailed metadata, indicating potential low effort or inexperience.

🔬 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: adresin.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Berkant" 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 BerkantMSA

Create a bioinformatics tool using Python that aligns multiple DNA sequences using the 'BerkantMSA' package. This tool will serve as a user-friendly interface for researchers and students who need to perform multiple sequence alignments (MSA) on their DNA data. Here are the steps and features your application should include:

1. **User Interface**: Develop a simple yet effective command-line interface (CLI) that allows users to input DNA sequences either directly through the terminal or from a file.
2. **Sequence Input Handling**: Ensure the application can accept FASTA formatted files as inputs, which is a common format for storing biological sequences. Users should also have the option to paste or type sequences manually into the CLI.
3. **Alignment Execution**: Utilize the 'BerkantMSA' package to execute the alignment process. This package implements a simplified version of the MUSCLE algorithm, which is widely used for multiple sequence alignment due to its efficiency and accuracy.
4. **Output Generation**: Once the alignment is complete, generate a visual representation of the aligned sequences. This could be in the form of a color-coded alignment view that highlights similarities and differences between sequences.
5. **Report Export**: Provide an option for users to export the alignment results in various formats such as HTML, PDF, or another commonly used format in bioinformatics like CLUSTAL.
6. **Error Handling & Feedback**: Implement robust error handling to manage issues like incorrect sequence formats, missing input files, etc. Also, provide clear feedback messages to guide users through potential errors or missteps during the process.
7. **Performance Metrics**: Optionally, include performance metrics like computation time and memory usage to give users insights into how efficiently their sequences were processed.

Your task is to design and implement this application ensuring it integrates the 'BerkantMSA' package effectively while providing a seamless experience for users. Consider the usability and practicality of the application, especially for those who may not be highly technical.