Low-latency Arrow-native streaming for Python powered by C++.

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Project description

QuartzStream

QuartzStream is a C++-powered Python streaming package that ingests live events into Arrow-native batches and exposes a fluent Python API for low-latency stream processing.

Current implementation scope:

UDP and manual in-process event sources
Bounded ingress queue with backpressure accounting
C++-side batching, filtering, projection, and tumbling-window mean aggregation
Native numeric column fast path for filter/window/mean workloads
Arrow RecordBatch output through pyarrow
Native Python async iteration over live batches
Modular C++ engine split across processing/runtime/bindings translation units
Cross-engine benchmark script for pandas, polars, and duckdb comparisons

The broader product brief in context.md includes additional future capabilities that are not yet implemented in this repository.

See architecture.md and explanation.md for detailed implementation design and execution semantics.

Project details

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This version

0.1.0

May 5, 2026

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quartzstream 0.1.0

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