AI Analysis
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)
Test suite present — 11 test file(s) found
11 test file(s) detected (e.g. test_data.py)
Some documentation present
Detailed PyPI description (1175 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
142 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Found 6 network call pattern(s)
) req = urllib.request.Request( url, data=payload, headers={"Contentry: with urllib.request.urlopen( req, timeout=self.RESPONSE_TIMEjulia.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: Magn("stdout", res) @patch("urllib.request.urlopen") def test_timeout(self, mock_urlopen: MagicMockjulia runtime") @patch("urllib.request.urlopen") def test_server_error_urllib(self, mock_urlope
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
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.
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