ansys-api-discovery

v1.1.9 safe
2.0
Low Risk

Autogenerated python gRPC interface package for ansys-api-discovery, built on 05:59:37 on 03 June 2026

🤖 AI Analysis

Final verdict: SAFE

The package exhibits very low risks across all analyzed categories, with no indications of malicious activity or unusual behavior.

  • No network calls detected.
  • No shell execution patterns.
  • No obfuscation or credential harvesting patterns.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands from within the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package and lacks PyPI classifiers, indicating low engagement with the platform.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/ansys/ansys-api-discovery/#readme
  • Detailed PyPI description (1218 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
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 100 commits in ansys/ansys-api-discovery
  • Active community — 5 or more distinct contributors

🔬 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: ansys.com

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository ansys/ansys-api-discovery appears legitimate

Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "ANSYS, Inc." appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ansys-api-discovery
Create a Python-based mini-application called 'Ansys Discovery Explorer' that leverages the 'ansys-api-discovery' package to interact with the Ansys Discovery API. This application will serve as a user-friendly tool for discovering and managing services provided by Ansys Discovery, allowing users to query available services, retrieve detailed information about each service, and potentially perform actions based on these services.

Step 1: Set up your development environment by installing Python and the 'ansys-api-discovery' package. Ensure you have access to the Ansys Discovery API and understand its basic structure and requirements.

Step 2: Design the main functionalities of the application:
- Service Discovery: Implement a feature that lists all available services provided by Ansys Discovery. Use the 'ansys-api-discovery' package to connect to the API and fetch this information.
- Detailed Information: Allow users to select a specific service from the list and view detailed information about it, such as description, endpoints, and supported operations.
- Action Execution: If possible, implement functionality that allows users to execute simple actions or queries against selected services through the application interface.

Step 3: Develop a user-friendly interface for the application. Consider using a console-based interface for simplicity, but feel free to explore graphical interfaces if you're comfortable with GUI programming in Python.

Suggested Features:
- Interactive Help: Provide a help menu that explains how to use each feature of the application.
- Customizable Output Format: Allow users to choose how they want the output displayed (e.g., plain text, JSON).
- Error Handling: Implement robust error handling to manage issues like network connectivity problems or invalid inputs gracefully.
- Logging: Integrate logging to record important events and errors for debugging and auditing purposes.

How to Utilize 'ansys-api-discovery':
- Use the package to establish a connection to the Ansys Discovery API.
- Employ the package's methods to request and parse data from the API, such as listing services and fetching details.
- Leverage the package's capabilities to securely communicate with the API, ensuring data integrity and confidentiality.

💬 Discussion Feed

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