# twitter-archive/ambrose

A platform for visualization and real-time monitoring of data workflows

Repository: https://github.com/twitter-archive/ambrose
Canonical: https://ross.abutalabs.com/products/ambrose
Homepage: http://twitter.com/ambrose
Language: Java
License: Apache-2.0
License Family: permissive
Archived: true
Last push: 2020-01-22T18:54:23+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5243, "days_push": 2415, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1170, forks 195 (observed 2026-08-28T04:03:51.390877+00:00)

## What it is
Twitter Ambrose is a platform for visualization and real-time monitoring of MapReduce data workflows on Hadoop clusters. It provides a web UI showing workflow progress, job dependency graphs, and job status tables for runtimes like Pig, Hive, Cascading, and Scalding.

## Use cases
- monitor hadoop mapreduce job progress in real time
- visualize dependencies between jobs in a data workflow
- track pig script execution with line highlighting
- see which jobs consume the most cluster resources
- debug workflow failures with a job status table

## When to choose
- you run legacy Hadoop MapReduce workflows with Pig, Hive, Cascading, or Scalding and need a visual monitoring UI
- you want a self-hosted dashboard for job dependencies and resource consumption

## When to avoid
- you need a maintained tool - the project is explicitly no longer maintained
- you use modern workflow engines like Spark, Airflow, or cloud-native schedulers
- your stack is not JVM/Hadoop based

## Facets
- artifact type: application
- maturity: abandoned
- function: monitoring, data-visualization, web-framework
- domain: big-data, monitoring, data-visualization
- platform: jvm
- tags: hadoop, mapreduce, pig, hive, cascading, scalding, workflow-monitoring, d3js, unmaintained, data-engineering, web-server

## Member repositories
- twitter-archive/ambrose (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:51.390877+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 2026-08-30T06:28:39.051824+00:00, confidence not recorded.
  - readme: https://github.com/twitter-archive/ambrose (fetched 2026-08-28T04:03:51.390877+00:00, sha 27a3c860a6d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.