TieXiu

v0.1.2 safe
1.0
Low Risk

High-performance PEG parsing (a port of TatSu to Rust)

🤖 AI Analysis

Final verdict: SAFE

The package TieXiu v0.1.2 has been assessed with very low risks across all evaluated categories, indicating it is likely safe for use.

  • No network calls detected.
  • No shell execution detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
  • Shell: No shell execution detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

🔬 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: gmail.com>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
  • Non-HTTPS external link: http://opensource.org/licenses/MIT
⚠ 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 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 TieXiu 
Create a fully-functional mini-application that demonstrates the capabilities of the 'TieXiu' package, which is a high-performance PEG (Parsing Expression Grammar) parser. This application will be named 'GrammarValidator'. It will allow users to input their own grammars written in PEG format and validate them against sample strings or files to check if the provided strings match the defined grammar rules. Here are the steps and features you need to implement:

1. **Setup**: Begin by setting up a Python environment with 'TieXiu' installed. Ensure all necessary dependencies are included.
2. **User Interface**: Design a simple command-line interface (CLI) for ease of use. The CLI should accept inputs such as the grammar definition file path and the test string/file path.
3. **Grammar Parsing**: Use 'TieXiu' to parse the user-defined grammar from the provided file. Handle errors gracefully and provide meaningful error messages if the grammar is invalid.
4. **Validation Functionality**: Implement a feature that allows the application to validate a given string or file against the parsed grammar. The output should clearly indicate whether the input matches the grammar or not, along with any specific parsing details.
5. **Advanced Features**:
   - Support for multiple test strings/files at once.
   - Option to save validated results into a log file for record-keeping.
   - Provide statistics on parsing speed and memory usage.
6. **Documentation**: Write comprehensive documentation explaining how to install the application, use its features, and troubleshoot common issues.
7. **Testing**: Ensure thorough testing of the application, including edge cases and large datasets, to validate its robustness and performance.

This project aims to showcase the power of 'TieXiu' in handling complex grammatical structures efficiently and effectively.