1 dépôt
Awesome GitHub RepositoriesCompute Contexts
Manages execution environments for data processing tasks across local and remote infrastructure.
Distinguishing note: Focuses on the abstraction of the execution environment, distinct from the physical cluster management.
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Awesome Compute Contexts GitHub Repositories
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- pola-rs/polars
pola-rs/polars
38,855Voir sur GitHubPolars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters. The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e
Assigns compute contexts to remote queries to manage execution environments dynamically.
Rustarrowdataframedataframe-library
