alpaka

v0.7.1 safe
4.0
Medium Risk

(No description)

🤖 AI Analysis

Final verdict: SAFE

The package alpaka v0.7.1 is assessed as safe with a moderate metadata risk due to low maintainer effort and potential newness, but no signs of obfuscation or credential harvesting.

  • Low obfuscation risk
  • No credential harvesting detected
  • Moderate metadata risk
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package shows some signs of low maintainer effort and potential newness, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (937 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 53 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alpaka 
Create a small Python application named 'AlpacaTracker' that leverages the 'alpaka' package to monitor and analyze stock market data in real-time. The app should allow users to input a list of stocks they are interested in tracking and then display real-time updates on their performance including price changes, volume, and any significant news related to those stocks.

Core Features:
1. User Input: Users should be able to input a list of stock symbols they want to track.
2. Real-Time Data Retrieval: Utilize the 'alpaka' package to fetch real-time stock data from financial APIs.
3. Data Visualization: Display the fetched data in a user-friendly format, such as graphs showing price trends over time.
4. News Alerts: Integrate a feature that alerts users about significant news related to the tracked stocks.
5. Historical Data Analysis: Provide a summary of historical data analysis, like average price movement over the last month.

Detailed Steps:
1. Set up the environment by installing necessary packages, including 'alpaka'.
2. Design a simple GUI using Tkinter where users can input stock symbols.
3. Implement functionality within 'AlpacaTracker' to connect to financial data APIs via 'alpaka', fetching real-time stock information.
4. Use matplotlib or seaborn to create visualizations of the stock data, updating these visuals periodically based on new data fetched from 'alpaka'.
5. Integrate a news API to pull relevant articles about the tracked stocks and notify the user through the GUI when important news is available.
6. Add a feature to save historical data locally and provide basic analysis tools to review past trends.
7. Ensure the application is responsive and updates in real-time, providing users with the latest information on their selected stocks.

The goal is to create a tool that not only fetches but also analyzes and presents financial data in a way that is both informative and engaging for users interested in stock market investments.

💬 Discussion Feed

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