apexomni

v3.3.1 safe
4.0
Medium Risk

Python3 Apexpro omni HTTP/WebSocket API Connector

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with no detected shell execution, obfuscation, or credential harvesting patterns. The incomplete User-Agent header update and a single package by the maintainer slightly increase the risk, but do not suggest a supply-chain attack.

  • Incomplete User-Agent header update
  • Single package by maintainer
Per-check LLM notes
  • Network: The use of requests.Session() for network calls is common and generally benign, but the incomplete User-Agent header update might indicate an incomplete or potentially risky implementation.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, suggesting a potentially new or less active account.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 22 test file(s) found

  • Test runner config found: pyproject.toml
  • 22 test file(s) detected (e.g. account_value.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (15945 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 23 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in ApeX-Protocol/apexpro-openapi
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • ession. self.client = requests.Session() #self.client.trust_env = False self.client
  • er client instance. session = requests.session() session.headers.update({ 'User-Agent': 'apexpro-python
✓ 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: apexomni.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ApeX-Protocol/apexpro-openapi appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Dexter Dickinson" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with apexomni 
Create a real-time stock monitoring application using the 'apexomni' Python package. This application will connect to Apexpro's trading platform via its HTTP and WebSocket APIs to fetch and stream live market data. The app should allow users to subscribe to multiple stocks, display real-time price updates, and provide basic technical analysis indicators such as moving averages and RSI (Relative Strength Index).

Step-by-Step Instructions:
1. Set up your development environment with Python and install the 'apexomni' package.
2. Authenticate the user with Apexpro's trading platform through 'apexomni'.
3. Implement a function to subscribe to real-time stock data for selected tickers using the WebSocket API provided by 'apexomni'.
4. Design a graphical user interface (GUI) using Tkinter or a similar library to display the subscribed stock prices and any additional information.
5. Integrate functionality to calculate and display technical analysis indicators based on the incoming stock data.
6. Ensure the application can handle multiple subscriptions simultaneously and update the GUI in real-time.
7. Add error handling to manage potential issues like network disruptions or incorrect inputs.
8. Finally, test the application thoroughly with different stocks and under various market conditions.

Suggested Features:
- User authentication and secure session management.
- Subscription management allowing users to add or remove stocks from their watchlist.
- Real-time charting of stock prices with zoom and pan functionalities.
- Calculation and display of technical analysis indicators like moving averages and RSI.
- Notifications or alerts when certain conditions (e.g., price movement above/below a threshold) are met.
- Support for historical data retrieval for analysis.

How 'apexomni' is Utilized:
- For authenticating users and managing sessions securely.
- To establish WebSocket connections for real-time data streaming.
- To make HTTP requests for fetching historical data or other required information.
- For handling different types of market data feeds efficiently.

💬 Discussion Feed

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