ape-framework

v2.0.0 suspicious
4.0
Medium Risk

Package for evaluating algebra problems using AI systems.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has legitimate functionalities but raises concerns due to incomplete author information and potential inactivity of the maintainer, despite showing no signs of malicious activity in its codebase.

  • Incomplete author information
  • Potential inactivity of the maintainer
Per-check LLM notes
  • Network: The package makes network requests which could be legitimate if the package is designed to interact with external services.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete and the maintainer seems new or inactive, raising some suspicion.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

  • 11 test file(s) detected (e.g. test_data.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1175 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

  • 142 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • ) req = urllib.request.Request( url, data=payload, headers={"Conten
  • try: with urllib.request.urlopen( req, timeout=self.RESPONSE_TIME
  • julia.get_tool() @patch("urllib.request.urlopen") def test_success_execution(self, mock_urlopen:
  • In("error", res) @patch("urllib.request.urlopen") def test_runtime_error(self, mock_urlopen: Mag
  • n("stdout", res) @patch("urllib.request.urlopen") def test_timeout(self, mock_urlopen: MagicMock
  • julia runtime") @patch("urllib.request.urlopen") def test_server_error_urllib(self, mock_urlope
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

No GitHub repository linked

  • No GitHub repository link found
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 ape-framework
Create a fully-functional mini-application named 'AlgebraMaster' that leverages the 'ape-framework' Python package to evaluate and solve algebraic equations. This app will serve as a learning tool for students of all levels, allowing them to input various algebraic expressions and receive solutions, step-by-step explanations, and graphical representations of the equations where applicable.

**Step-by-Step Application Functionality:**
1. **User Interface**: Develop a simple, user-friendly interface where users can input algebraic equations directly or select from pre-defined examples.
2. **Equation Parsing**: Utilize the 'ape-framework' to parse the input equation into a format suitable for analysis.
3. **Solution Generation**: Employ 'ape-framework' to solve the parsed equation. Ensure the solution process is broken down into steps for better understanding.
4. **Graphical Representation**: For equations that allow it (e.g., linear, quadratic), generate graphs using libraries like Matplotlib to visually represent the equation and its solution.
5. **Explanation and Feedback**: Provide clear, concise explanations for each step of the solution process. Offer feedback on common mistakes made during problem-solving.
6. **Export Option**: Allow users to export their solved equations along with explanations and graphs as PDF documents.

**Suggested Features**:
- Support for basic algebraic operations (addition, subtraction, multiplication, division).
- Handling of variables and constants within equations.
- Capability to solve linear, quadratic, and polynomial equations.
- Integration with 'ape-framework' for advanced problem-solving techniques.
- Interactive graphing for visual learners.
- Comprehensive documentation and tutorials for both students and educators.

**How 'ape-framework' is Utilized**:
- Use 'ape-framework' for parsing and solving equations to ensure accuracy and efficiency.
- Leverage any specialized functions provided by 'ape-framework' for handling complex algebraic structures.
- Incorporate 'ape-framework' for generating detailed, step-by-step solutions to enhance educational value.

Develop 'AlgebraMaster' to be accessible, educational, and engaging, making it a valuable resource for anyone looking to improve their algebra skills.

💬 Discussion Feed

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