python-streamz/streamz

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1303 stars · 149 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Streamz is a Python library for building pipelines that manage continuous streams of real-time data. It supports complex pipelines with branching, joining, flow control, feedback, and back pressure, and integrates with Pandas and cuDF for streaming tabular data operations.

Use cases

• process real-time data streams in python
• build streaming data pipelines with branching and joins
• apply pandas operations to continuous streaming dataframes
• handle back pressure in async data pipelines
• stream process kafka data with cudf on gpu
• monitor live event feeds and transform them on the fly

When to choose

• you need lightweight real-time stream processing in pure python
• you want streaming dataframe operations with pandas or cuDF
• your pipelines need flow control, feedback, or back pressure

When to avoid

• you need large-scale distributed stream processing like Flink or Spark Streaming
• your data is batch-oriented rather than continuous
• you need a maintained project with frequent releases and active development

Facets

library · maturity maintenance

streaming etl data-science big-data python cross-platform stream-processing data-pipelines backpressure pandas async data-engineering real-time

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