AI Analysis
The package shows some potential red flags, particularly regarding incomplete metadata and a non-secure link, which could indicate issues with transparency and maintainership.
- Metadata risk due to incomplete maintainer information
- Presence of a non-secure link
Per-check LLM notes
- Network: No network calls detected, which is normal and expected.
- Shell: Shell execution is used to run npm commands for building or validating the environment, which seems aligned with typical build processes for front-end components.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has a non-secure link and the maintainer's information is incomplete.
Package Quality Overall: Medium (7.0/10)
Test suite present — 8 test file(s) found
Test runner config found: pyproject.toml8 test file(s) detected (e.g. test_cli_build.py)
Some documentation present
Documentation URL: "Documentation" -> https://superset.apache.org/docs/Detailed PyPI description (3701 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project34 type-annotated function signatures detected in source
Active multi-contributor project
15 unique contributor(s) across 100 commits in apache/supersetActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 3 shell execution pattern(s)
1) try: result = subprocess.run( # noqa: S603 ["npm", "-v"], # noqa: S607validate_npm() res = subprocess.run( # noqa: S603 npm_command, # noqa: S607sets…", fg="cyan") return subprocess.run( # noqa: S603 ["npm", "run", "build"], # noqa: S60
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: superset.apache.org>
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.apache.org/licenses/LICENSE-2.0
Repository apache/superset appears legitimate
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 mini-application that allows users to easily manage and deploy custom extensions for Apache Superset using the 'apache-superset-extensions-cli' package. This tool will streamline the process of creating, packaging, and deploying extensions for Apache Superset, making it easier for developers to customize their Superset instances. The application should include the following features: 1. User-friendly CLI interface to interact with the 'apache-superset-extensions-cli'. 2. Ability to create new extension projects from templates. 3. Support for bundling and packaging extensions into distributable formats. 4. Automated deployment options for uploading extensions directly to a specified Superset instance. 5. Version control integration to track changes in extension projects. 6. Documentation generation for each extension project to help other developers understand its purpose and usage. Your task is to design and implement this mini-application, ensuring it leverages the core functionalities provided by 'apache-superset-extensions-cli', such as extension creation, bundling, and management. Additionally, provide clear instructions on how to install and use your application, along with examples of how it simplifies the extension development process for Apache Superset.
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