apscale-gui

v3.2.4 safe
3.0
Low Risk

Advanced Pipeline for Simple yet Comprehensive AnaLysEs of DNA metabarcoding data - Graphical User Interface

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, no signs of obfuscation or credential harvesting, and shell executions appear legitimate for its purpose. The metadata suggests a potentially new maintainer but does not raise additional concerns.

  • No network calls
  • Legitimate use of shell commands
  • No obfuscation or credential harvesting detected
Per-check LLM notes
  • Network: No network calls detected, which is normal for GUI applications that do not require internet access.
  • Shell: Shell execution appears to be related to running tools like Streamlit and BLASTN for the application's functionality, indicating it may be a legitimate part of the application's operation rather than malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which could indicate a new or less active account, but no other red flags were identified.

📦 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 (7087 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 100 commits in TillMacher/apscale_gui
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • close APSCALE-GUI!') subprocess.run(['streamlit', 'run', script_path, '--theme.base', 'dark', '-
  • try: result = subprocess.run([tool, "--version"], capture_output=True, text=True, check=T
  • ") try: result = subprocess.run(["blastn", "-version"], capture_output=True, text=True, chec
  • _os == "Windows": subprocess.Popen(f'explorer "{folder_path}"') elif current_os == "Dar
  • Darwin": # macOS subprocess.Popen(['open', folder_path]) else: # Linux su
  • else: # Linux subprocess.Popen(['xdg-open', folder_path]) except Exception as e:
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: uni-trier.de

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository TillMacher/apscale_gui appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Till-Hendrik Macher" 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 apscale-gui 
Create a mini-application named 'MetaBarker' that serves as a user-friendly tool for analyzing DNA metabarcoding data using the 'apscale-gui' package. This application should allow users to upload their DNA sequencing files, perform basic preprocessing steps such as quality control and trimming, and then conduct comprehensive analyses including taxonomic classification and diversity metrics calculation. Additionally, the app should generate visual reports summarizing the findings.

Step 1: Design the User Interface
- Use the 'apscale-gui' package to create a clean and intuitive graphical interface.
- Include options for file upload, selection of analysis parameters, and display of results.

Step 2: Implement Data Preprocessing
- Integrate functions from 'apscale-gui' to handle quality control checks on uploaded DNA sequences.
- Allow users to trim low-quality reads and remove contaminants.

Step 3: Conduct Taxonomic Classification
- Utilize 'apscale-gui' tools to classify sequences into taxonomic groups.
- Provide options for selecting reference databases and classification algorithms.

Step 4: Calculate Diversity Metrics
- Implement features to calculate alpha and beta diversity metrics using 'apscale-gui'.
- Display these metrics in tabular form and also visualize them graphically.

Step 5: Generate Reports
- Develop a report generation module within the application.
- Include summary statistics, taxonomic composition charts, and diversity plots.
- Enable users to download the reports in PDF format.

Suggested Features:
- Support for multiple input file formats (FASTQ, FASTA).
- Real-time progress updates during analysis.
- Exportable raw output data for further analysis.
- Customizable settings for analysis parameters.

💬 Discussion Feed

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