# pystorm/streamparse

Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.

Repository: https://github.com/pystorm/streamparse
Canonical: https://ross.abutalabs.com/products/streamparse
Homepage: http://streamparse.readthedocs.io/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: apache-storm, storm, python
Last push: 2026-04-22T17:12:33+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 8, longevity 100
- inputs: {"age_days": 4506, "days_push": 133, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1505, forks 219 (observed 2026-08-28T04:04:54.934935+00:00)

## What it is
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- you are starting a new project - Storm's ecosystem has largely been superseded by Kafka Streams, Flink, and Spark Streaming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
- artifact type: library
- maturity: maintenance
- function: streaming, cli, workflow-automation
- domain: big-data, microservices, developer-tools
- platform: python, cli, cross-platform
- tags: apache-storm, real-time-computation, topology-dsl, spouts, bolts, distributed-computing, data-engineering, linux

## Member repositories
- pystorm/streamparse (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:54.934935+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:32:43.025295+00:00, confidence not recorded.
  - readme: https://github.com/pystorm/streamparse (fetched 2026-08-28T04:04:54.934935+00:00, sha 506740a013d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.