AI Analysis
The package is considered suspicious due to its legacy status and lack of repository documentation, despite showing no direct signs of malicious activity.
- Legacy compatibility package with no active repository
- Lack of clear documentation regarding network usage
Per-check LLM notes
- Network: The package uses network calls to potentially fetch data from an API, which is common for news-related packages, but the absence of clear documentation raises some concern.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The maintainer has a single package and the repository is not found, raising suspicion but not conclusive evidence of malice.
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://dashboard.aiondashboard.site/models/indian-market-inDetailed PyPI description (1658 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
4 type-annotated function signatures (partial)
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 1 network call pattern(s)
elf.session = self.session or requests.Session() self.api_key = self.api_key or os.getenv("AION_API
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
1 maintainer concern(s) found
Author "AION Analytics" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a real-time financial news impact analyzer using the 'aion-news-to-signal' package. This mini-app will focus on monitoring and analyzing news articles related to the Indian market to predict potential impacts on specific sectors or macroeconomic conditions. Here's a detailed plan of what your app should accomplish: 1. **News Aggregation**: Your app will need to aggregate real-time news from various sources relevant to the Indian market. 2. **Sentiment Analysis**: Implement a sentiment analysis feature to gauge the positivity or negativity of each article. 3. **Impact Assessment**: Utilize the 'aion-news-to-signal' package to convert the aggregated news into signals that represent the potential impact on different sectors or overall market conditions. 4. **Visualization**: Create an interactive dashboard to visualize these signals in real-time, helping users understand immediate trends and shifts. 5. **Alert System**: Set up an alert system that notifies users via email or SMS when significant changes in market signals are detected. 6. **User Interface**: Design a user-friendly interface that allows users to customize their alerts based on specific sectors or keywords they are interested in. ### Features: - Real-time data streaming from multiple news sources. - Sentiment analysis for each article to provide context. - Signal generation using 'aion-news-to-signal' to quantify the impact of news on the market. - Interactive visualization tools for easy understanding of market dynamics. - Customizable alerts for personalized monitoring. ### Utilizing 'aion-news-to-signal': This package acts as a bridge between raw news data and actionable insights. It leverages advanced algorithms to analyze the content of news articles and translates them into meaningful signals that reflect their potential impact on the market. By integrating this package into your app, you can automate the process of converting textual information into quantifiable metrics, making it easier for users to make informed decisions based on current events.
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