AI Analysis
The package exhibits low risks across all categories except for a slight concern regarding network and metadata risks due to HTTP requests and a single non-HTTPS external link. There is no evidence of malicious intent.
- Low network risk with legitimate HTTP requests
- Single non-HTTPS external link
Per-check LLM notes
- Network: The network call patterns indicate the package is making HTTP requests which may be for legitimate purposes such as API calls or fetching remote resources.
- Shell: No shell execution patterns were detected, suggesting there is no direct risk associated with executing system commands.
- 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 one non-HTTPS external link which could be a potential risk. The maintainer has only one package, indicating a possibly new or less active account.
Package Quality Overall: Medium (6.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://developer.anduril.comDetailed PyPI description (7058 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed201 type-annotated function signatures detected in source
Active multi-contributor project
4 unique contributor(s) across 44 commits in anduril/lattice-sdk-pythonSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 4 network call pattern(s)
not None else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirectnot None else httpx.Client(timeout=_defaulted_timeout), timeout=_defaulNone else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirectNone else httpx.Client(timeout=_defaulted_timeout), timeout=_de
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: anduril.com
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://my.test.proxy.example.com
Repository anduril/lattice-sdk-python appears legitimate
1 maintainer concern(s) found
Author "Anduril Industries" 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 Python-based mini-application called 'LatticeExplorer' that leverages the 'anduril-lattice-sdk' package to interact with the Anduril Lattice API. This application will serve as a tool for developers and researchers to explore and manage their data stored within the Anduril Lattice platform. The main functionalities of 'LatticeExplorer' include: 1. **Authentication**: Implement a secure method for users to authenticate using their Anduril Lattice credentials. 2. **Data Retrieval**: Fetch data from various endpoints provided by the Anduril Lattice API, such as datasets, models, and projects. 3. **Data Visualization**: Integrate basic visualization capabilities to display fetched data in a user-friendly manner. 4. **Data Management**: Allow users to perform CRUD (Create, Read, Update, Delete) operations on their data stored within the Anduril Lattice platform. 5. **Interactive Shell**: Develop an interactive shell where users can execute commands directly to query and manipulate their data. 6. **Export Functionality**: Enable users to export retrieved data into common file formats like CSV or JSON for further analysis outside the application. 7. **Documentation and Help**: Provide comprehensive documentation and a help command within the application to guide users through its features and usage. The 'anduril-lattice-sdk' package will be central to the implementation of the data retrieval and management functionalities. It provides the necessary HTTP client utilities to communicate with the Anduril Lattice API, allowing for seamless interaction with the platform's resources. Your task is to design and implement 'LatticeExplorer', ensuring it is user-friendly, efficient, and capable of handling large datasets.
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