autodynamics

v0.4.0a0 safe
3.0
Low Risk

Modelling autonomy dynamics over the Autonometrics atlas.

🤖 AI Analysis

Final verdict: SAFE

The package is assessed as safe with a low risk score due to the absence of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk is slightly elevated due to the maintainer's new or inactive account and lack of community engagement.

  • No network calls detected
  • No shell execution detected
  • Metadata risk due to new/inactive maintainer and lack of community engagement
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction.
  • Shell: No shell execution detected, indicating no direct system command execution.
  • 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 the repository lacks community engagement.

📦 Package Quality Overall: Low (4.6/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

  • Test runner config found: pyproject.toml
  • 9 test file(s) detected (e.g. test_adapters.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (15169 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

  • 105 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 10 commits in bugerchip/Autodynamics
  • 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

No author email provided

✓ 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 2.0

1 maintainer concern(s) found

  • Author "bugerchip" 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 autodynamics 
Create a Python-based mini-application called 'Autonomy Explorer' that leverages the 'autodynamics' package to model and visualize the dynamics of autonomy across different regions as defined in the Autonometrics atlas. This application should enable users to explore how various factors such as technology adoption, regulatory policies, and economic conditions influence the development of autonomous systems in specific areas. Here’s a detailed plan on how to build this application:

1. **Project Setup**: Initialize your Python environment and install necessary packages including 'autodynamics'.
2. **Data Acquisition**: Use 'autodynamics' to fetch data related to autonomy dynamics from the Autonometrics atlas. This includes information about technological advancements, policy frameworks, and economic indicators.
3. **Modeling Dynamics**: Develop models within your application to simulate the impact of different variables on the progression of autonomy. Utilize 'autodynamics' functions to integrate real-world data into these models.
4. **Visualization Tools**: Implement visualization components that allow users to see trends, patterns, and correlations in the data. This could include charts, graphs, and interactive maps.
5. **User Interface**: Design a user-friendly interface where users can select regions, adjust parameters, and view results in real-time. Ensure the UI is responsive and accessible.
6. **Interactive Features**: Enable users to modify hypothetical scenarios and observe changes in the modeled outcomes. For example, changing policy regulations to see how it affects technological advancement.
7. **Documentation & Testing**: Write comprehensive documentation explaining each feature and functionality of the application. Conduct thorough testing to ensure accuracy and reliability.

The 'autodynamics' package will be central to fetching and processing data, as well as providing the framework for modeling and analyzing autonomy dynamics. Your goal is to create an insightful tool that not only educates but also predicts future trends based on current data and assumptions.

💬 Discussion Feed

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