ray-data
Pass
Audited by Gen Agent Trust Hub on May 19, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The documentation suggests installing 'ray[data]', 'pyarrow', and 'pandas' using standard package managers. These are established, widely-used libraries in the AI/ML ecosystem.
- [COMMAND_EXECUTION]: Includes Python code snippets demonstrating how to invoke distributed data processing operations. These operations are executed within the context of the Ray cluster as intended by the library's architecture.
- [DATA_EXFILTRATION]: Provides examples of reading from and writing to cloud object storage (AWS S3 and Google Cloud Storage). These actions are essential for distributed data processing and do not involve sensitive local files or hardcoded credentials.
- [DYNAMIC_EXECUTION]: Demonstrates the use of Ray's transformation APIs ('map', 'map_batches'), which distribute user-defined functions for execution across nodes. This is the primary function of the tool and is used in a standard manner within the provided examples.
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