AI Analysis
The package appears to be legitimate with minimal risks identified. While there are some concerns regarding metadata and the maintainers' experience, these do not conclusively point towards malicious intent.
- Low risk scores across all categories except metadata.
- No direct evidence of malicious activities or supply-chain attacks.
Per-check LLM notes
- Network: The use of httpx to make network calls is common in many Python packages and does not necessarily indicate malicious activity.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
- Metadata: The repository's low engagement and the maintainer's newness suggest potential risks, but no concrete evidence of malice.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Sivivatu/AlteryxGalleryAPI#readmeDetailed PyPI description (8284 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
142 type-annotated function signatures detected in source
Active multi-contributor project
4 unique contributor(s) across 100 commits in Sivivatu/AlteryxGalleryAPISmall but multi-author team (3β4 contributors)
Heuristic Checks
Found 3 network call pattern(s)
e: self._client = httpx.AsyncClient( verify=self.config.verify_ssl,try: with httpx.Client(verify=self.verify_ssl, timeout=self.timeout) as client:e: self._client = httpx.Client( verify=self.config.verify_ssl,
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: theinformationlab.co.uk>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor "Paul Houghton" 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 Python-based mini-application that integrates with Alteryx Server using the 'alteryx-server-py' package. Your goal is to develop a tool that allows users to manage workflows on Alteryx Server more efficiently. Hereβs a detailed breakdown of what your application should achieve: 1. **User Authentication**: Implement a feature that securely authenticates users against the Alteryx Server using OAuth2 tokens provided by the server. This will ensure that only authorized users can access and modify workflows. 2. **Workflow Management**: Enable users to perform CRUD (Create, Read, Update, Delete) operations on workflows hosted on the Alteryx Server. Users should be able to create new workflows, retrieve details about existing workflows, update workflow configurations, and delete workflows if necessary. 3. **Job Submission and Monitoring**: Allow users to submit jobs to specific workflows and monitor their progress. The application should display real-time status updates for each job, including start time, end time, and any errors encountered during execution. 4. **Advanced Features**: - **Scheduling Jobs**: Provide functionality to schedule jobs at specific intervals or times. Users should be able to set up recurring tasks and view their scheduled jobs. - **Notifications**: Integrate email notifications or alerts for job completion or failure. Users should receive timely updates on the status of their jobs. 5. **User Interface**: Develop a simple but effective command-line interface (CLI) for interacting with the application. Consider adding options for customization, such as setting default servers or authentication tokens. 6. **Documentation**: Ensure comprehensive documentation is available for both developers and end-users. Include setup instructions, API reference, and examples of common use cases. To utilize the 'alteryx-server-py' package effectively, you'll need to familiarize yourself with its methods and classes related to user management, workflow manipulation, and job submission. Make sure to leverage the synchronous and asynchronous capabilities of the package to handle requests efficiently, especially when dealing with multiple workflows or jobs simultaneously.
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