AI Analysis
The package shows low risks in terms of network, shell, and obfuscation activities but has incomplete metadata, raising suspicion about its origin and maintenance.
- No network calls or shell executions detected
- Incomplete maintainer information and lack of associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities.
- 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 package has no associated GitHub repository and the maintainer's information is incomplete.
Package Quality Overall: Low (3.6/10)
Test suite present — 8 test file(s) found
8 test file(s) detected (e.g. test_conditional_matching.py)
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
10 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No GitHub repository linked
No GitHub repository link found
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 network simulation tool using Python's 'autorouting' package. This tool will simulate packet routing through a network of interconnected nodes, each representing a router or switch. The primary function of your tool is to automatically route packets from a source node to a destination node based on predefined rules and network conditions. **Step 1: Define Network Topology** - Design a network topology consisting of multiple nodes interconnected by links. Each link has a specific bandwidth and latency. - Implement a method to add or remove nodes and links dynamically. **Step 2: Configure Routing Rules** - Use the 'autorouting' package to define routing rules that determine how packets are forwarded between nodes. - Allow users to customize these rules based on criteria such as shortest path, least congestion, or priority traffic handling. **Step 3: Simulate Packet Transmission** - Develop a feature to simulate the transmission of packets through the network. Packets should have a source, destination, size, and type (e.g., data, control). - Track packet delivery times, loss rates, and retransmissions due to congestion or errors. **Step 4: Analyze Network Performance** - Integrate performance analysis tools to evaluate the efficiency of routing decisions. - Display metrics such as throughput, delay, and packet loss percentage. **Suggested Features:** - Graphical interface for visualizing the network topology and packet flow. - Real-time monitoring of network conditions and packet status. - Scenario-based testing to compare different routing strategies under various network loads. - Export simulation results to CSV or JSON files for further analysis. Utilize the 'autorouting' package to handle the complex task of determining optimal paths for packet transmission based on the current network state and configured rules. Your goal is to create a versatile and educational tool that demonstrates the principles of network routing and management.
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