# klbostee/dumbo

Python module that allows one to easily write and run Hadoop programs.

Repository: https://github.com/klbostee/dumbo
Canonical: https://ross.abutalabs.com/products/dumbo
Homepage: http://projects.dumbotics.com/dumbo
Language: Python
License Family: other
Last push: 2018-01-09T10:05:41+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 6654, "days_push": 3158, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1030, forks 144 (observed 2026-08-28T04:03:17.750515+00:00)

## What it is
Dumbo is a Python module that makes writing and running Hadoop Streaming programs easy, providing a convenient Python API for MapReduce programs. It wraps Hadoop's streaming interface so developers can write mappers and reducers in plain Python.

## Use cases
- write mapreduce jobs in python
- run python code on hadoop clusters
- process large datasets with hadoop streaming
- simplify hadoop streaming development
- batch process log files with mapreduce

## When to choose
- you maintain a legacy Hadoop Streaming stack and want a Pythonic API
- you need to run simple MapReduce jobs in Python on an existing Hadoop cluster

## When to avoid
- starting a new big data project - use Spark, Dask, or modern frameworks instead
- your cluster does not run Hadoop
- you need actively maintained software with support for recent Python versions

## Facets
- artifact type: library
- maturity: abandoned
- function: etl, developer-tools
- domain: big-data, microservices
- platform: python, cross-platform
- tags: hadoop, mapreduce, hadoop-streaming, data-pipeline, data-engineering, linux

## Member repositories
- klbostee/dumbo (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.750515+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 2026-08-30T07:07:34.228857+00:00, confidence not recorded.
  - readme: https://github.com/klbostee/dumbo (fetched 2026-08-28T04:03:17.750515+00:00, sha 5638c78fb2a9)
  - registry_pypi: https://pypi.org/pypi/dumbo/json (fetched 2026-08-29T13:07:26.704955+00:00, sha aba61f56e400)
- Data as of 2026-08-30T08:39:29.467469+00:00.