RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/hiplot

Default branch main · commit 1aac48aa · scanned 6/22/2026, 2:46:46 PM

GitHub: 2,801 stars · 148 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 facebookresearch/hiplot, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to specify its ML experiment niche

    Why:

    CURRENT
    HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data using parallel plots and other graphical ways to represent information.
    COPY-PASTE FIX
    HiPlot is a lightweight interactive visualization tool specifically designed for AI researchers to explore and understand high-dimensional data from machine learning experiments, hyperparameter sweeps, and model training runs. It uses parallel plots and other graphical methods to help discover correlations and patterns in experiment results.
  • mediumreadme#2
    Clarify HiPlot's role within the ML experiment ecosystem in the README

    Why:

    COPY-PASTE FIX
    While not a full experiment tracking platform, HiPlot excels at visualizing and comparing the results of individual runs or entire hyperparameter sweeps, making it a valuable companion to tools like MLflow, Weights & Biases, or TensorBoard.

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 facebookresearch/hiplot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Matplotlib
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Matplotlib · recommended 2×
  2. Seaborn · recommended 2×
  3. Python · recommended 1×
  4. scikit-learn · recommended 1×
  5. Plotly · recommended 1×
  • CATEGORY QUERY
    How can I visualize complex high-dimensional datasets to find hidden patterns?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. scikit-learn
    3. Matplotlib
    4. Seaborn
    5. Plotly

    AI recommended 5 alternatives but never named facebookresearch/hiplot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help interactively explore machine learning experiment results in notebooks?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases
    2. MLflow
    3. TensorBoard
    4. Neptune.ai
    5. Comet ML
    6. Plotly Express
    7. Matplotlib
    8. Seaborn

    AI recommended 8 alternatives but never named facebookresearch/hiplot. 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 facebookresearch/hiplot?
    pass
    AI named facebookresearch/hiplot explicitly

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

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

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

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facebookresearch/hiplot — 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