RRepoGEO

REPOGEO REPORT · LITE

microsoft/TimeCraft

Default branch main · commit 80f3dd59 · scanned 5/26/2026, 4:21:59 AM

GitHub: 1,072 stars · 62 forks

AI VISIBILITY SCORE
22 /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
1 / 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 microsoft/TimeCraft, 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
  • highreadme#1
    Add a concise, direct statement of TimeCraft's purpose to the README's opening

    Why:

    CURRENT
    The rapid advancement of artificial intelligence has increasingly emphasized the critical role of time series data in powering intelligent decision-making across diverse domains...
    COPY-PASTE FIX
    TimeCraft is a comprehensive framework designed for generating high-quality synthetic time series data for real-world applications. It addresses challenges like data scarcity and privacy concerns by enabling the creation of realistic, controllable, and diverse time series across multiple domains.
  • hightopics#2
    Expand repository topics with more specific generation keywords

    Why:

    CURRENT
    generative-ai, machine-learning, timeseries-analysis
    COPY-PASTE FIX
    generative-ai, machine-learning, timeseries-analysis, synthetic-data, time-series-generation, data-generation, data-synthesis
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/microsoft/TimeCraft

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 microsoft/TimeCraft
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TimeGAN
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TimeGAN · recommended 2×
  2. sdv-dev/SDV · recommended 1×
  3. sdv-dev/CTGAN · recommended 1×
  4. statsmodels/statsmodels · recommended 1×
  5. hmmlearn/hmmlearn · recommended 1×
  • CATEGORY QUERY
    How can I generate synthetic time series data for machine learning model training?
    you: not recommended
    AI recommended (in order):
    1. SDV (sdv-dev/SDV)
    2. CTGAN (sdv-dev/CTGAN)
    3. TimeGAN
    4. statsmodels (statsmodels/statsmodels)
    5. hmmlearn (hmmlearn/hmmlearn)
    6. tsfresh (blue-yonder/tsfresh)
    7. PyTorch-Forecasting (jdb78/pytorch-forecasting)
    8. GluonTS (awslabs/gluon-ts)

    AI recommended 8 alternatives but never named microsoft/TimeCraft. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create realistic time series data to overcome data scarcity issues?
    you: not recommended
    AI recommended (in order):
    1. Synthcity
    2. TimeGAN
    3. SDV
    4. statsmodels
    5. forecast
    6. Faker
    7. DataSynthesizer

    AI recommended 7 alternatives but never named microsoft/TimeCraft. 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 microsoft/TimeCraft?
    pass
    AI did not name microsoft/TimeCraft — likely talking about a different project

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

  • If a team adopts microsoft/TimeCraft in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/TimeCraft 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 microsoft/TimeCraft solve, and who is the primary audience?
    pass
    AI did not name microsoft/TimeCraft — likely talking about a different project

    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 microsoft/TimeCraft. 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/microsoft/TimeCraft.svg)](https://repogeo.com/en/r/microsoft/TimeCraft)
HTML
<a href="https://repogeo.com/en/r/microsoft/TimeCraft"><img src="https://repogeo.com/badge/microsoft/TimeCraft.svg" alt="RepoGEO" /></a>
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microsoft/TimeCraft — 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