douban/dpark
Python clone of Spark, a MapReduce alike framework in Python observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5257
- days_rel: n/a
- days_push: 2077
- n_releases_24m: 0
Adoption not part of the score
2663 stars · 518 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
DPark is a Python clone of Apache Spark, providing a MapReduce-like distributed computing framework that supports iterative computation. Jobs written with DparkContext can run locally or on a Mesos cluster without code changes.
Use cases
- run mapreduce word count jobs in python
- process large datasets on a mesos cluster
- run iterative algorithms like pagerank in python
- batch etl over text files without learning scala spark
- debug distributed jobs via a web ui with stage graphs
When to choose
- you want Spark-style RDD programming in pure Python
- your cluster runs Mesos and you prefer Python over Scala/Java
- you need lightweight MapReduce with iterative computation support
When to avoid
- you need modern Spark features like DataFrames, SQL, or MLlib
- you want an actively developed project - the last release was 2020
- your infrastructure uses Kubernetes or YARN instead of Mesos
Facets
framework · maturity maintenance
etl streaming data-science workflow-automation big-data microservices data-science python cli mapreduce spark-clone rdd mesos batch-processing iterative-computation data-engineering linux
2 sources
- readme: https://github.com/douban/dpark · fetched 2026-08-28 · 829601821a02
- registry_pypi: https://pypi.org/pypi/dpark/json · fetched 2026-08-29 · 3ae26260e880
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| douban/dpark | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem