RRepoGEO

REPOGEO REPORT · LITE

numenta/NAB

Default branch master · commit ea702d75 · scanned 6/22/2026, 5:26:55 PM

GitHub: 2,097 stars · 872 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
68 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    anomaly-detection, benchmark, timeseries, streaming-data, real-time, evaluation
  • mediumreadme#2
    Strengthen README's opening to emphasize 'evaluation framework'

    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. This repository provides a novel, standardized framework for evaluating anomaly detection algorithms in streaming, real-time applications. It includes over 50 labeled real-world and artificial timeseries data files, plus a unique scoring mechanism.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://doi.org/10.5281/zenodo.1040335

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
1 / 2
50% of queries surface numenta/NAB
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
Scikit-learn
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Scikit-learn · recommended 1×
  2. PyOD · recommended 1×
  3. ADTK · recommended 1×
  4. Apache Flink · recommended 1×
  5. Apache Kafka · recommended 1×
  • CATEGORY QUERY
    How to evaluate real-time anomaly detection algorithms for streaming data?
    you: not recommended
    AI recommended (in order):
    1. Scikit-learn
    2. PyOD
    3. ADTK
    4. Apache Flink
    5. Apache Kafka
    6. Spark Streaming / Structured Streaming
    7. Prometheus
    8. Grafana
    9. Kubernetes
    10. Elastic Stack
    11. AWS Kinesis Analytics
    12. Azure Stream Analytics
    13. Google Cloud Dataflow
    14. OpenTSDB

    AI recommended 14 alternatives but never named numenta/NAB. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good benchmarks for timeseries anomaly detection in real-time applications?
    you: #1
    AI recommended (in order):
    1. NAB ← you
    2. ADBench
    3. UCR Anomaly Archive
    4. Yahoo S5
    5. AWS IoT Analytics Anomaly Detection Dataset
    6. KDD Cup 1999
    7. Custom Datasets
    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