polar_llama
pnthn-ai
A high-performance Python library integrating Polars to orchestrate parallel inference across multiple providers, featuring Jev as an alternate decision and scoring engine.
- License
- MIT
- GitHub Stars
- 30
- Source reviewed
- —
Where Jev makes a decision
Serves as an alternate high-throughput decision and scoring engine within parallel Polars pipeline workflows.
What this project offers
Combines Polars dataframe throughput with Jev structured decisions for high-concurrency batch processing.
Review scope
Author and repository text is preserved where clear; missing languages are enriched automatically. Checks establish source-level Jev integration, not runtime, safety, or performance validation.
Sources and implementation
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