twitter/scalding
A Scala API for Cascading observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
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: 5349
- days_rel: n/a
- days_push: 1193
- n_releases_24m: 0
Adoption not part of the score
3523 stars · 698 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Scalding is a Scala library for specifying Hadoop MapReduce jobs, built on top of the Cascading framework. It provides a type-safe, functional API that integrates Scala collections-style code directly into distributed data processing pipelines.
Use cases
- write hadoop mapreduce jobs in scala
- process large datasets on hadoop clusters
- build etl pipelines with cascading
- run word count and aggregation jobs at scale
- replace pig scripts with type-safe scala code
- join and group large datasets distributedly
When to choose
- you already run Hadoop and want a Scala API for MapReduce
- you prefer type-safe pipelines over Pig or Hive scripts
- your team is invested in the JVM and Cascading ecosystem
When to avoid
- you are starting a new data pipeline project with no existing Hadoop infrastructure
- you need modern streaming or SQL-based engines like Spark, Flink, or Trino
- you need a framework with active development and a large current community
Facets
library · maturity maintenance
etl streaming data-science big-data developer-tools jvm cloud hadoop mapreduce cascading scala distributed-computing batch-processing data-engineering linux
1 source
- readme: https://github.com/twitter/scalding · fetched 2026-08-28 · 56bce9faf7a4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| twitter/scalding | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="twitter/scalding")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem