RRepoGEO

REPOGEO REPORT · LITE

numenta/NAB

Default branch master · commit ea702d75 · scanned 5/12/2026, 11:17:32 AM

GitHub: 2,085 stars · 872 forks

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 numenta/NAB, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    anomaly-detection, benchmark, time-series, streaming-data, evaluation, machine-learning, data-science
  • mediumreadme#2
    Strengthen the README's opening to emphasize its role as a definitive benchmark suite

    Why:

    CURRENT
    Welcome. This repository contains the data and scripts which comprise the Numenta Anomaly Benchmark (NAB) v1.1. NAB is a novel benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications.
    COPY-PASTE FIX
    Welcome to the Numenta Anomaly Benchmark (NAB) v1.1. NAB is the definitive benchmark suite for objectively evaluating and comparing anomaly detection algorithms in streaming, real-time applications. This repository provides the standardized data, scripts, and a novel scoring mechanism to help researchers and practitioners assess their algorithms.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., a dedicated NAB page on numenta.com or the main Numenta research page).

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 numenta/NAB
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ADBench
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ADBench · recommended 2×
  2. River · recommended 1×
  3. Scikit-learn · recommended 1×
  4. Apache Flink · recommended 1×
  5. Apache Kafka Streams · recommended 1×
  • CATEGORY QUERY
    How to objectively evaluate real-time anomaly detection algorithms on streaming data?
    you: not recommended
    AI recommended (in order):
    1. River
    2. Scikit-learn
    3. Apache Flink
    4. Apache Kafka Streams
    5. Prometheus
    6. Grafana
    7. ADBench
    8. pandas
    9. numpy
    10. scipy
    11. matplotlib
    12. seaborn

    AI recommended 12 alternatives but never named numenta/NAB. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a benchmark suite to compare different time series anomaly detection methods.
    you: not recommended
    AI recommended (in order):
    1. ADBench
    2. TSAD (Time Series Anomaly Detection) Benchmark
    3. NAB (Numenta Anomaly Benchmark)
    4. UCR Time Series Anomaly Detection Archive
    5. Yahoo S5 (Seasonal and Trend Anomaly Detection Benchmark)
    6. OPPORTUNITY Activity Recognition Dataset

    AI recommended 6 alternatives but never named numenta/NAB. 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 numenta/NAB?
    pass
    AI named numenta/NAB explicitly

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

  • If a team adopts numenta/NAB in production, what risks or prerequisites should they evaluate first?
    pass
    AI named numenta/NAB 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 numenta/NAB solve, and who is the primary audience?
    pass
    AI named numenta/NAB explicitly

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

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numenta/NAB — 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