RRepoGEO

REPOGEO REPORT · LITE

functime-org/functime

Default branch main · commit 71e11992 · scanned 5/12/2026, 3:08:35 PM

GitHub: 1,171 stars · 63 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 functime-org/functime, 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
    Strengthen README's opening paragraph to emphasize Polars and panel data

    Why:

    CURRENT
    functime** is a powerful Python library for production-ready **global forecasting** and **time-series feature extraction** on **large panel datasets**.
    COPY-PASTE FIX
    functime** is a powerful Python library for production-ready **global forecasting** and **time-series feature extraction** on **large panel datasets**, built with Polars for embarrassingly parallel processing.
  • mediumabout#2
    Add mention of Rust backend to the repository description

    Why:

    CURRENT
    Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
    COPY-PASTE FIX
    Time-series machine learning at scale, powered by a Rust backend for extreme performance. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
  • lowtopics#3
    Add more specific topics to highlight global forecasting and Rust backend

    Why:

    CURRENT
    feature-engineering, forecasting, machine-learning, panel-data, polars, python, time-series
    COPY-PASTE FIX
    feature-engineering, forecasting, global-forecasting, machine-learning, panel-data, polars, python, rust-powered, time-series

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 functime-org/functime
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Dask
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Dask · recommended 2×
  2. PyCaret · recommended 1×
  3. Apache Spark · recommended 1×
  4. Prophet (Facebook Prophet) · recommended 1×
  5. Nixtla · recommended 1×
  • CATEGORY QUERY
    How to perform scalable time-series forecasting and feature extraction on large panel datasets?
    you: not recommended
    AI recommended (in order):
    1. PyCaret
    2. Dask
    3. Apache Spark
    4. Prophet (Facebook Prophet)
    5. Nixtla
    6. StatsForecast
    7. NeuralForecast
    8. Chronos
    9. Featuretools
    10. Apache Spark MLlib
    11. Spark-TS
    12. Databricks AutoML
    13. Photon
    14. Delta Lake
    15. MLflow
    16. Amazon Forecast

    AI recommended 16 alternatives but never named functime-org/functime. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for embarrassingly parallel time-series feature engineering using Polars?
    you: not recommended
    AI recommended (in order):
    1. Polars
    2. Dask
    3. Joblib
    4. Ray
    5. PySpark

    AI recommended 5 alternatives but never named functime-org/functime. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 functime-org/functime?
    pass
    AI named functime-org/functime explicitly

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

  • If a team adopts functime-org/functime in production, what risks or prerequisites should they evaluate first?
    pass
    AI named functime-org/functime 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 functime-org/functime solve, and who is the primary audience?
    pass
    AI named functime-org/functime 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 functime-org/functime. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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functime-org/functime — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite