AI Analysis
The package shows low risks in terms of network, shell, obfuscation, and credential risks. However, the metadata risk is moderately high due to the author having only one package, suggesting potential typosquatting targeting 'toml'. This combination raises some suspicion.
- Low risk in network, shell, obfuscation, and credential activities.
- Moderate metadata risk due to a single package by the author.
- Potential typosquatting targeting 'toml'.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity related to shell commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which may indicate a new or less active account, raising some suspicion.
- ⚠ Typosquatting target: toml
Package Quality Overall: Medium (5.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://rustakka.github.io/atomr/Detailed PyPI description (11164 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
75 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in rustakka/atomrSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
Possible typosquat of: toml
"atomr" is 2 edit(s) from "toml"
No author email provided
All external links appear legitimate
Repository rustakka/atomr appears legitimate
1 maintainer concern(s) found
Author "atomr contributors" 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 distributed task manager application using the 'atomr' package. This application will allow users to submit tasks that will be executed concurrently across multiple nodes in a cluster. Each node can run multiple actors that handle different tasks, ensuring efficient resource utilization. Here are the key requirements and features of the application: 1. **Task Submission**: Users can submit various types of tasks (e.g., compute-intensive tasks, I/O-bound tasks). Tasks can be submitted via a REST API. 2. **Actor-Based Execution**: Use 'atomr' to define actors that process these tasks. Actors can be supervised to ensure fault tolerance. 3. **Distributed Execution**: Implement a mechanism where tasks are distributed across multiple nodes in a cluster. Use 'atomr' to manage inter-node communication. 4. **Monitoring and Logging**: Provide real-time monitoring and logging capabilities. Users should be able to see the status of their tasks (queued, running, completed, failed). 5. **Scalability**: Ensure the system can scale horizontally by adding more nodes to the cluster without downtime. 6. **REST API**: Develop a simple REST API for submitting tasks and retrieving task statuses. 7. **User Interface**: Optionally, develop a basic web UI to visualize task statuses and monitor the overall health of the system. The 'atomr' package will be central to this project, particularly its ability to handle supervised concurrency and inter-process communication. Utilize 'atomr' to create actors that can communicate with each other and handle tasks efficiently. Remember to leverage 'atomr's clustering capabilities to distribute tasks across multiple nodes.
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