# alibaba/clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

Repository: https://github.com/alibaba/clusterdata
Canonical: https://ross.abutalabs.com/products/clusterdata
Language: Jupyter Notebook
License Family: other
Topics: dataset
Last push: 2026-06-03T02:11:46+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 85, release rhythm 35, longevity 100
- inputs: {"age_days": 3284, "days_push": 92, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2154, forks 477 (observed 2026-08-28T04:06:19.510003+00:00)

## What it is
A collection of production cluster trace datasets from Alibaba covering batch workloads, GPU/ML workloads, microservices, and microarchitectural metrics. It is intended for research on cluster management, scheduling, and datacenter workload characterization.

## Use cases
- analyze production datacenter workload traces
- research cluster scheduling and resource management
- study GPU cluster utilization for ML workloads
- model microservice call dependencies and latency
- simulate colocation of online and batch workloads
- study CPU microarchitecture contention in datacenters

## When to choose
- you need real-world production cluster traces for systems research
- you are studying scheduling, colocation, or resource management in large datacenters
- you need GPU or microservice workload data for simulation or modeling

## When to avoid
- you need a tool or library rather than raw trace data
- you need small-scale or synthetic datasets with permissive licensing
- you cannot complete the download survey or handle large data volumes

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, analytics, benchmarking
- domain: data-science, big-data, microservices, cloud-computing, machine-learning
- platform: python, cross-platform
- tags: cluster-traces, workload-analysis, datacenter, gpu-traces, microservices, research-dataset

## Member repositories
- alibaba/clusterdata (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.510003+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 2026-08-30T02:50:37.190094+00:00, confidence not recorded.
  - readme: https://github.com/alibaba/clusterdata (fetched 2026-08-28T04:06:19.510003+00:00, sha 473a53c0eb01)
- Data as of 2026-08-30T08:39:29.467469+00:00.