# twitter/scalding

A Scala API for Cascading

Repository: https://github.com/twitter/scalding
Canonical: https://ross.abutalabs.com/products/scalding
Homepage: http://twitter.com/scalding
Language: Scala
License: Apache-2.0
License Family: permissive
Last push: 2023-05-28T19:18:59+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5349, "days_push": 1193, "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 3523, forks 698 (observed 2026-08-28T04:08:08.006254+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: etl, streaming, data-science
- domain: big-data, developer-tools
- platform: jvm, cloud
- tags: hadoop, mapreduce, cascading, scala, distributed-computing, batch-processing, data-engineering, linux

## Member repositories
- twitter/scalding (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:08.006254+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 2026-08-29T18:35:12.056345+00:00, confidence not recorded.
  - readme: https://github.com/twitter/scalding (fetched 2026-08-28T04:08:08.006254+00:00, sha 56bce9faf7a4)
- Data as of 2026-08-30T08:39:29.467469+00:00.