AI Analysis
The package shows no signs of malicious activity such as network calls, shell executions, or obfuscation. The metadata risk is slightly elevated due to incomplete maintainer information, but there are no clear indicators of a supply-chain attack.
- No network calls detected
- Incomplete maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal for this package type.
- Shell: No shell execution patterns detected, aligning with typical benign behavior.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The maintainer's author information is incomplete and may indicate a new or inactive account, but no other red flags were raised.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_eopc04_1962-now.py)
Some documentation present
Documentation URL: "documentation" -> https://github.com/astropy/astropy-iers-data/blob/main/READMDetailed PyPI description (2460 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 project
Active multi-contributor project
6 unique contributor(s) across 100 commits in astropy/astropy-iers-dataActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository astropy/astropy-iers-data 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 Python-based mini-application that utilizes the 'astropy-iers-data' package to provide real-time information about Earth's rotation and leap seconds. This application will serve as a useful tool for astronomers, geophysicists, and anyone interested in precise timekeeping and Earth orientation parameters. Here are the steps and features you should include: 1. **Project Setup**: Start by setting up a virtual environment and installing necessary packages including 'astropy', 'astropy-iers-data', and any other dependencies. 2. **Data Fetching**: Use the 'astropy-iers-data' package to fetch the latest Earth Rotation and Obliquity Data (EOP) and Leap Second data from the International Earth Rotation and Reference Systems Service (IERS). 3. **Data Processing**: Implement functions to process this data into meaningful insights such as calculating the current Earth rotation angle and the total number of leap seconds added since 1972. 4. **User Interface**: Develop a simple command-line interface (CLI) where users can query the application for specific data points like the latest EOP values or upcoming leap second announcements. 5. **Documentation**: Write comprehensive documentation explaining how to install the application, use its CLI, and understand the outputs. 6. **Testing**: Ensure all functionalities are tested using unit tests to validate the accuracy of fetched and processed data. Suggested Features: - Allow users to specify a date range for fetching historical EOP data. - Include graphical representations of Earth rotation variations over time using matplotlib or similar plotting libraries. - Offer an option to receive email notifications before significant changes in Earth rotation or leap second adjustments. This project aims to demonstrate the practical applications of 'astropy-iers-data' while providing a valuable resource for those interested in Earth's dynamic behavior.
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