klbostee/dumbo
Python module that allows one to easily write and run Hadoop programs. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 6654
- days_rel: n/a
- days_push: 3158
- n_releases_24m: 0
Adoption not part of the score
1030 stars · 144 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity abandoned
etl developer-tools big-data microservices python cross-platform hadoop mapreduce hadoop-streaming data-pipeline data-engineering linux
2 sources
- readme: https://github.com/klbostee/dumbo · fetched 2026-08-28 · 5638c78fb2a9
- registry_pypi: https://pypi.org/pypi/dumbo/json · fetched 2026-08-29 · aba61f56e400
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| klbostee/dumbo | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem