AI Analysis
The package shows no signs of malicious intent, with low scores across all security metrics. The only concern is the metadata risk due to incomplete maintainer history, but this does not indicate a supply-chain attack.
- No network calls detected
- No shell execution or obfuscation patterns found
Per-check LLM notes
- Network: No network calls detected, which is normal for a calculator package.
- Shell: No shell execution detected, consistent with benign software behavior.
- Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: Low risk, but concerns about maintainer history and metadata completeness suggest potential low effort or inactivity.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://github.com/TZ387/ArrheniusCalculator#readmeDetailed PyPI description (1337 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
1 unique contributor(s) across 60 commits in TZ387/ArrheniusCalculatorSingle author but highly active (60 commits)
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 TZ387/ArrheniusCalculator appears legitimate
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-app using the 'arrheniuscalculator' package in Python, which is designed to calculate the Arrhenius integral for chemical kinetics studies. This app should provide users with an intuitive graphical user interface (GUI) where they can input necessary parameters such as activation energy, pre-exponential factor, temperature range, and other relevant constants. The app should then compute the rate constant values based on the Arrhenius equation and display these results graphically, alongside a table of computed data points. Additionally, include features like saving the computed data to a CSV file, exporting graphs as images, and allowing users to plot multiple sets of data for comparison. Ensure that the app is well-documented and includes error handling for invalid inputs. Utilize the 'arrheniuscalculator' package to perform the core calculations, while building out the rest of the functionality using standard Python libraries such as Tkinter for the GUI and matplotlib for plotting.
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