AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity, with low risks across all categories. The metadata risk is slightly elevated due to the maintainer having only one package, but this alone is insufficient to classify it as suspicious.
- No network calls
- No shell executions
- No obfuscation
- No credential harvesting
- Single package from maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical and safe.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The maintainer has only one package, which might indicate a new or less active account, but there are no other red flags.
Package Quality Overall: Medium (5.0/10)
○ 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://ai-dynamo.github.io/aituneDetailed PyPI description (27538 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
Type checker (mypy / pyright / pytype) referenced in project
✦ High
Multiple Contributors
10.0
Active multi-contributor project
6 unique contributor(s) across 100 commits in ai-dynamo/aituneActive 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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository ai-dynamo/aitune appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "NVIDIA Corporation" 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 aitune
Create a real-time system tuning utility using the NVIDIA AITune Python package. This utility will monitor and adjust performance parameters of a running application to optimize its execution on an NVIDIA GPU. Here’s a step-by-step guide to building this application: 1. **Project Setup**: Initialize a new Python project. Ensure you have the `aitune` package installed. If not, install it via pip. 2. **Application Monitoring**: Integrate the monitoring capabilities of `aitune` to collect data about the current state of your application, including GPU utilization, memory usage, and other relevant metrics. 3. **Performance Tuning**: Implement a feature that allows the utility to automatically adjust settings based on the collected data. For instance, if the GPU utilization is low, the utility could increase the workload to better utilize the hardware. 4. **User Interface**: Develop a simple user interface where users can view real-time performance statistics and manually adjust tuning parameters if needed. 5. **Logging and Reporting**: Add functionality to log all tuning activities and generate reports summarizing the performance improvements achieved over time. 6. **Testing and Validation**: Test the utility with various applications to ensure it accurately monitors and tunes performance. Validate the effectiveness of the tuning adjustments by comparing pre- and post-tuning performance metrics. Suggested Features: - Real-time visualization of performance metrics. - Automated tuning based on predefined rules. - Manual tuning overrides through the UI. - Detailed logging and reporting. - Support for multiple GPUs. Utilize the `aitune` package to leverage its advanced monitoring and tuning capabilities, ensuring efficient and optimized use of NVIDIA GPUs.