RRepoGEO

REPOGEO REPORT · LITE

alibaba/clusterdata

Default branch master · commit 7a6c496e · scanned 5/19/2026, 10:12:55 PM

GitHub: 2,056 stars · 466 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface alibaba/clusterdata, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file and declare the license in README

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the chosen license text. Then, add a line to the README's 'Overview' section, such as: 'This dataset is provided under the [Specific License Name, e.g., CC BY 4.0] license. See the [LICENSE](LICENSE) file for full details.'
  • highhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the About section to 'https://www.alibabacloud.com/blog/alibaba-cluster-trace-program-open-source-data-for-researchers-and-students_594000' or another official project page.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    ["dataset"]
    COPY-PASTE FIX
    ["dataset", "cluster-traces", "workload-data", "datacenter-research", "cloud-computing", "resource-management", "ai-ml-workloads"]

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface alibaba/clusterdata
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Azure Traces
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Azure Traces · recommended 2×
  2. Alibaba Cluster Traces · recommended 2×
  3. Google Cluster Traces · recommended 1×
  4. Facebook (Meta) Workload Traces · recommended 1×
  5. Parallel Workloads Archive · recommended 1×
  • CATEGORY QUERY
    Where can I find realistic production cluster traces for academic research?
    you: not recommended
    AI recommended (in order):
    1. Google Cluster Traces
    2. Microsoft Azure Traces
    3. Alibaba Cluster Traces
    4. Facebook (Meta) Workload Traces
    5. Parallel Workloads Archive
    6. LANL (Los Alamos National Laboratory) Traces

    AI recommended 6 alternatives but never named alibaba/clusterdata. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need large-scale datacenter workload datasets to analyze resource management strategies.
    you: not recommended
    AI recommended (in order):
    1. Google Cluster Trace
    2. Microsoft Azure Traces
    3. Alibaba Cluster Traces
    4. Bitbrains Grid Workload Traces
    5. Facebook Workload Traces
    6. Open Cloud Testbed (OCT) Traces

    AI recommended 6 alternatives but never named alibaba/clusterdata. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of alibaba/clusterdata?
    pass
    AI named alibaba/clusterdata explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts alibaba/clusterdata in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alibaba/clusterdata explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo alibaba/clusterdata solve, and who is the primary audience?
    pass
    AI named alibaba/clusterdata explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of alibaba/clusterdata. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/alibaba/clusterdata.svg)](https://repogeo.com/en/r/alibaba/clusterdata)
HTML
<a href="https://repogeo.com/en/r/alibaba/clusterdata"><img src="https://repogeo.com/badge/alibaba/clusterdata.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

alibaba/clusterdata — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite