pystorm/streamparse

Health v2 · maintenance only

Adoption not part of the score

1505 stars · 219 forks observed · 2026-08-28

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

Streamparse is a Python library and CLI toolkit for running Python code in Apache Storm topologies, letting you write spouts and bolts without Java. It includes a topology DSL and CLI utilities for managing Storm projects and clusters.

Use cases

• run python in apache storm topologies
• process real-time data streams in python
• write storm bolts and spouts without java
• scale long-running parallel python processes
• replace celery worker queues with real-time computation
• manage storm cluster deployments from the cli

When to choose

• you already run Apache Storm and want Python topology components
• you need real-time map/reduce-style computation over live streams
• you want to scale highly parallel Python workers in production

When to avoid

• you are starting a new project - Storm's ecosystem has largely been superseded by Kafka Streams, Flink, and Spark Streaming
• you need simple background job queues rather than stream processing
• your team prefers pure-Java/JVM streaming stacks

Facets

library · maturity maintenance

streaming cli workflow-automation big-data microservices developer-tools python cli cross-platform apache-storm real-time-computation topology-dsl spouts bolts distributed-computing data-engineering linux

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